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      "execution_count": 1,
      "metadata": {
        "id": "PBrzKiYWL4qb"
      },
      "outputs": [],
      "source": [
        "import yfinance as yf"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "16A9EnjOL7Km"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "1. Получить данные цен акции какой-нибудь компании (например, AAPL) с помощью подключения к любому доступному API через питон (например, yfinance\n",
        "yfinance · PyPI , тикер яблочной компании в yfinance - AAPL) и индекса (в yfinance тикер –SPY). Если соединить все данные в один датафрейм, то получим что-то вроде этого (лучше побольше промежуток времени взять, например, полгода)"
      ],
      "metadata": {
        "id": "J1gnAfq0P6SA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "aapl = yf.Ticker('AAPL')\n",
        "spy = yf.Ticker('SPY')\n",
        "aapl_hist = aapl.history(period=\"6mo\")\n",
        "spy_hist = spy.history(period=\"6mo\")"
      ],
      "metadata": {
        "id": "0VUhEULZL7OL"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "aapl_hist['ticker'] = 'AAPL'\n",
        "spy_hist['ticker'] = 'SPY'"
      ],
      "metadata": {
        "id": "rBUW8z1zQJQw"
      },
      "execution_count": 4,
      "outputs": []
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      "cell_type": "code",
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        "aapl_hist.head()"
      ],
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              "                                 Open        High         Low       Close  \\\n",
              "Date                                                                        \n",
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              "\n",
              "                             Volume  Dividends  Stock Splits ticker  \n",
              "Date                                                                 \n",
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              "                                 Open        High         Low       Close  \\\n",
              "Date                                                                        \n",
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              "                             Volume  Dividends  Stock Splits  Capital Gains  \\\n",
              "Date                                                                          \n",
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              "\n",
              "                          ticker  \n",
              "Date                              \n",
              "2023-01-09 00:00:00-05:00    SPY  \n",
              "2023-01-10 00:00:00-05:00    SPY  \n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "common = pd.concat([aapl_hist, spy_hist])\n",
        "\n",
        "# форматирование колонки даты\n",
        "idx = common.index\n",
        "new_idx = idx.strftime('%Y-%m-%d')\n",
        "common.index = new_idx\n",
        "\n",
        "# указание колонок используемых в графике далее\n",
        "common.reset_index(inplace=True)\n",
        "common = common[['Date', 'Open', 'Close', 'ticker']]\n",
        "common.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6b5E_rjYQrut",
        "outputId": "058c6bb7-d005-46c6-cc9f-0232cf6c9d80"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 248 entries, 0 to 247\n",
            "Data columns (total 4 columns):\n",
            " #   Column  Non-Null Count  Dtype  \n",
            "---  ------  --------------  -----  \n",
            " 0   Date    248 non-null    object \n",
            " 1   Open    248 non-null    float64\n",
            " 2   Close   248 non-null    float64\n",
            " 3   ticker  248 non-null    object \n",
            "dtypes: float64(2), object(2)\n",
            "memory usage: 7.9+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "common[common.ticker == 'AAPL'].head()"
      ],
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        "colab": {
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        },
        "id": "9r263JV8JTeV",
        "outputId": "b50483ad-f69e-4b7b-96b2-fc3f121721f4"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         Date        Open       Close ticker\n",
              "0  2023-01-09  130.091158  129.772079   AAPL\n",
              "1  2023-01-10  129.881766  130.350403   AAPL\n",
              "2  2023-01-11  130.868885  133.102386   AAPL\n",
              "3  2023-01-12  133.491250  133.022614   AAPL\n",
              "4  2023-01-13  131.646629  134.368698   AAPL"
            ],
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              "      <th></th>\n",
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              "      <th>Open</th>\n",
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    {
      "cell_type": "code",
      "source": [
        "common[common.ticker == 'SPY'].head()"
      ],
      "metadata": {
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        },
        "id": "wXYcOdSNJeVG",
        "outputId": "f0b670c1-382f-401b-e9d8-e0fa6be3903d"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           Date        Open       Close ticker\n",
              "124  2023-01-09  387.446596  384.955383    SPY\n",
              "125  2023-01-10  384.349980  387.655029    SPY\n",
              "126  2023-01-11  389.292704  392.558044    SPY\n",
              "127  2023-01-12  393.699437  393.987244    SPY\n",
              "128  2023-01-13  390.672257  395.515717    SPY"
            ],
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              "\n",
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              "\n",
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              "          const element = document.querySelector('#df-38d36862-d8c9-4f65-b3b6-a7bf6d205f83');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
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          },
          "metadata": {},
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        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cols = common.columns.tolist()"
      ],
      "metadata": {
        "id": "gctgWRiJKxOo"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cols"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pj3wWSKjK9hk",
        "outputId": "591df451-ae85-443b-f1c6-788aaf6d0beb"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Date', 'Open', 'Close', 'ticker']"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Закидываем полученные данные на локальный хост в вашу базу данных также с помощью питона (можно по частям, можно одним конкатенированным датафреймом).\n",
        "- используется память на виртуальной машине googlecolab вместо localhost"
      ],
      "metadata": {
        "id": "HOarPIj2XErx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import sqlite3"
      ],
      "metadata": {
        "id": "iCxaMCCZJi3Q"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# создание базы данных и таблицы\n",
        "con = sqlite3.connect('database.db')\n",
        "cur = con.cursor()\n",
        "cur.execute(\"CREATE TABLE securities(Date, Open, Close, ticker)\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "30uCihNvJi7B",
        "outputId": "869810ee-4669-49af-d24b-98363a90e19a"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<sqlite3.Cursor at 0x7efe258046c0>"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# таблица создана\n",
        "res = cur.execute(\"SELECT name FROM sqlite_master\")\n",
        "res.fetchone()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ip-6QJYvJi85",
        "outputId": "c9268d43-fa23-4cd0-bb79-8154f6ac45f6"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "('securities',)"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# копирование данных датафрейма в созданную таблицу\n",
        "common.to_sql('securities', con, if_exists='replace', index=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iAs7dvU-Ji_l",
        "outputId": "265bc069-f550-467a-c7f9-42272e23d2d5"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "248"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# подтверждение изменений\n",
        "con.commit()"
      ],
      "metadata": {
        "id": "NgiKkiKIJjB4"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# данные вставлены корректно\n",
        "res = cur.execute(\"SELECT * FROM securities\")\n",
        "res.fetchall()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6wRFThCpJjEK",
        "outputId": "3999f97e-c785-41f9-aa32-9859312d4ce8"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
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              " ('2023-01-11', 130.8688853540207, 133.10238647460938, 'AAPL'),\n",
              " ('2023-01-12', 133.4912499770948, 133.02261352539062, 'AAPL'),\n",
              " ('2023-01-13', 131.6466293553823, 134.3686981201172, 'AAPL'),\n",
              " ('2023-01-17', 134.43849533070656, 135.54527282714844, 'AAPL'),\n",
              " ('2023-01-18', 136.4227237306548, 134.81739807128906, 'AAPL'),\n",
              " ('2023-01-19', 133.69068069011047, 134.87722778320312, 'AAPL'),\n",
              " ('2023-01-20', 134.8871896957878, 137.46966552734375, 'AAPL'),\n",
              " ('2023-01-23', 137.71893300027173, 140.70025634765625, 'AAPL'),\n",
              " ('2023-01-24', 139.9025796369428, 142.1161346435547, 'AAPL'),\n",
              " ('2023-01-25', 140.48088976316362, 141.4480743408203, 'AAPL'),\n",
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              " ('2023-01-27', 142.74431030034725, 145.50625610351562, 'AAPL'),\n",
              " ('2023-01-30', 144.53909336941618, 142.58477783203125, 'AAPL'),\n",
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              " ('2023-03-20', 154.8558183691826, 157.18258666992188, 'AAPL'),\n",
              " ('2023-03-21', 157.10269821805082, 159.0599822998047, 'AAPL'),\n",
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              " ('2023-03-24', 158.64057654143252, 160.02865600585938, 'AAPL'),\n",
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              " ('2023-05-12', 411.8900169718768, 410.0667724609375, 'SPY'),\n",
              " ('2023-05-15', 410.69442153516843, 411.48150634765625, 'SPY'),\n",
              " ('2023-05-16', 410.3357469831877, 408.7317199707031, 'SPY'),\n",
              " ('2023-05-17', 410.8239519831692, 413.69329833984375, 'SPY'),\n",
              " ('2023-05-18', 413.3645050332783, 417.6784973144531, 'SPY'),\n",
              " ('2023-05-19', 418.6150216507811, 417.07073974609375, 'SPY'),\n",
              " ('2023-05-22', 417.09070402593653, 417.2401428222656, 'SPY'),\n",
              " ('2023-05-23', 415.5364504667466, 412.5575256347656, 'SPY'),\n",
              " ('2023-05-24', 410.8936983780441, 409.568603515625, 'SPY'),\n",
              " ('2023-05-25', 413.2051112754932, 413.1154479980469, 'SPY'),\n",
              " ('2023-05-26', 413.79290034669657, 418.4655456542969, 'SPY'),\n",
              " ('2023-05-30', 420.46812899055226, 418.6249694824219, 'SPY'),\n",
              " ('2023-05-31', 416.7320207360207, 416.3036193847656, 'SPY'),\n",
              " ('2023-06-01', 416.5427043896297, 420.2589111328125, 'SPY'),\n",
              " ('2023-06-02', 422.9289778487262, 426.3363342285156, 'SPY'),\n",
              " ('2023-06-05', 426.6950043775129, 425.5193786621094, 'SPY'),\n",
              " ('2023-06-06', 425.09097060530485, 426.4459228515625, 'SPY'),\n",
              " ('2023-06-07', 426.8543944296178, 424.97137451171875, 'SPY'),\n",
              " ('2023-06-08', 425.04114945678816, 427.5418701171875, 'SPY'),\n",
              " ('2023-06-09', 428.3687659940246, 428.3089904785156, 'SPY'),\n",
              " ('2023-06-12', 429.3252336118281, 432.1945495605469, 'SPY'),\n",
              " ('2023-06-13', 433.70893866261457, 435.0439758300781, 'SPY'),\n",
              " ('2023-06-14', 435.3926884124265, 435.5620422363281, 'SPY'),\n",
              " ('2023-06-15', 434.71519054605415, 440.9620056152344, 'SPY'),\n",
              " ('2023-06-16', 443.0199890136719, 439.4599914550781, 'SPY'),\n",
              " ('2023-06-20', 437.45001220703125, 437.17999267578125, 'SPY'),\n",
              " ('2023-06-21', 436.1600036621094, 434.94000244140625, 'SPY'),\n",
              " ('2023-06-22', 433.95001220703125, 436.510009765625, 'SPY'),\n",
              " ('2023-06-23', 432.92999267578125, 433.2099914550781, 'SPY'),\n",
              " ('2023-06-26', 432.6199951171875, 431.44000244140625, 'SPY'),\n",
              " ('2023-06-27', 432.3500061035156, 436.1700134277344, 'SPY'),\n",
              " ('2023-06-28', 435.04998779296875, 436.3900146484375, 'SPY'),\n",
              " ('2023-06-29', 435.9599914550781, 438.1099853515625, 'SPY'),\n",
              " ('2023-06-30', 441.44000244140625, 443.2799987792969, 'SPY'),\n",
              " ('2023-07-03', 442.9200134277344, 443.7900085449219, 'SPY'),\n",
              " ('2023-07-05', 441.9100036621094, 443.1300048828125, 'SPY'),\n",
              " ('2023-07-06', 439.4200134277344, 439.6600036621094, 'SPY'),\n",
              " ('2023-07-07', 438.6300048828125, 438.54998779296875, 'SPY')]"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "con.close()"
      ],
      "metadata": {
        "id": "HAOofTKiTwaU"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "2. Достаем из локального хоста закинутые ранее данные также с помощью питона\n",
        "- используется память на виртуальной машине googlecolab вместо localhost"
      ],
      "metadata": {
        "id": "W6DrV5FiXgqj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# копирование данных из таблицы в новый датафрейм\n",
        "new_con = sqlite3.connect('database.db')\n",
        "new_cur = new_con.cursor()\n",
        "res = new_cur.execute(\"SELECT * FROM securities\")"
      ],
      "metadata": {
        "id": "lqnQtq22TwfS"
      },
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.DataFrame(res.fetchall())"
      ],
      "metadata": {
        "id": "0CfS4QBrUh4Z"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "new_con.close()"
      ],
      "metadata": {
        "id": "xs8pLqVSUiIE"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "3. Строим посредством графических библиотек питона (matplotlib, например) относительные (внимание – не абсолютные!) ежедневные изменения цен 2 инструментов (AAPL, SPY)."
      ],
      "metadata": {
        "id": "JIPbNOoXXojW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns = ['Date', 'Open', 'Close', 'ticker']"
      ],
      "metadata": {
        "id": "m0Q4B17vcTJJ"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df['Date'] = pd.to_datetime(df['Date'])"
      ],
      "metadata": {
        "id": "KiqrxgB8Vo8H"
      },
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NiuOFUMYVo_o",
        "outputId": "4fe814cb-4717-4d5a-ca5a-d8324f4e1f6d"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 248 entries, 0 to 247\n",
            "Data columns (total 4 columns):\n",
            " #   Column  Non-Null Count  Dtype         \n",
            "---  ------  --------------  -----         \n",
            " 0   Date    248 non-null    datetime64[ns]\n",
            " 1   Open    248 non-null    float64       \n",
            " 2   Close   248 non-null    float64       \n",
            " 3   ticker  248 non-null    object        \n",
            "dtypes: datetime64[ns](1), float64(2), object(1)\n",
            "memory usage: 7.9+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['Relative_change'] = round(((df['Close'] - df['Open']) / df['Open']) * 100, 2)"
      ],
      "metadata": {
        "id": "5D5EOIFhZBtu"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
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        "id": "s79Bu6yjoqTe",
        "outputId": "9976f80a-4287-4de6-ada8-54aa7541342b"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        Date        Open       Close ticker  Relative_change\n",
              "0 2023-01-09  130.091158  129.772079   AAPL            -0.25\n",
              "1 2023-01-10  129.881766  130.350403   AAPL             0.36\n",
              "2 2023-01-11  130.868885  133.102386   AAPL             1.71\n",
              "3 2023-01-12  133.491250  133.022614   AAPL            -0.35\n",
              "4 2023-01-13  131.646629  134.368698   AAPL             2.07"
            ],
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              "\n",
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              "      <th></th>\n",
              "      <th>Date</th>\n",
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              "      <th>0</th>\n",
              "      <td>2023-01-09</td>\n",
              "      <td>130.091158</td>\n",
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              "      <td>AAPL</td>\n",
              "      <td>-0.25</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2023-01-10</td>\n",
              "      <td>129.881766</td>\n",
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              "      <td>AAPL</td>\n",
              "      <td>0.36</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2023-01-11</td>\n",
              "      <td>130.868885</td>\n",
              "      <td>133.102386</td>\n",
              "      <td>AAPL</td>\n",
              "      <td>1.71</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2023-01-12</td>\n",
              "      <td>133.491250</td>\n",
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              "      <td>AAPL</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2023-01-13</td>\n",
              "      <td>131.646629</td>\n",
              "      <td>134.368698</td>\n",
              "      <td>AAPL</td>\n",
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        "df.tail()"
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      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
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            "text/plain": [
              "          Date        Open       Close ticker  Relative_change\n",
              "243 2023-06-30  441.440002  443.279999    SPY             0.42\n",
              "244 2023-07-03  442.920013  443.790009    SPY             0.20\n",
              "245 2023-07-05  441.910004  443.130005    SPY             0.28\n",
              "246 2023-07-06  439.420013  439.660004    SPY             0.05\n",
              "247 2023-07-07  438.630005  438.549988    SPY            -0.02"
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              "      <td>2023-06-30</td>\n",
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              "      <td>2023-07-05</td>\n",
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              "      <td>2023-07-06</td>\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-6807216b-f290-4ef4-a7c1-3407c7663e0a button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-6807216b-f290-4ef4-a7c1-3407c7663e0a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(14,8))\n",
        "\n",
        "ax.plot(df[df['ticker'] == 'AAPL']['Date'], df[df['ticker'] == 'AAPL']['Relative_change'],\n",
        "        label='AAPL',\n",
        "        linewidth=2,\n",
        "        c='orange')\n",
        "ax.plot(df[df['ticker'] == 'SPY']['Date'], df[df['ticker'] == 'SPY']['Relative_change'],\n",
        "        label='SPY',\n",
        "        linewidth=2,\n",
        "        c='b')\n",
        "ax.axhline(y=0, color='cyan', linewidth=1, linestyle='--', alpha=.5)\n",
        "yrange = [i for i in range(-6, 7)]\n",
        "ax.set_yticks(yrange)\n",
        "\n",
        "ax.set_yticklabels([str(i)+'.00%' for i in yrange])\n",
        "# ax.grid(visible=False)\n",
        "ax.set_title('Относительные ежедневные изменения цен инструментов AAPL, SPY')\n",
        "ax.legend();"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 684
        },
        "id": "b8AJFhvLmqeP",
        "outputId": "657fac34-43e3-45c8-e07d-d5161a996dd4"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x800 with 1 Axes>"
            ],
            "image/png": 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0ej0GDhyouG1iYiJatmxp8bq0atUK33zzDVatWoW33nrLNP/q1avo168funXrZpGSn5qailOnTuHJJ59ETk6O6TGKi4tx9913448//lCUJgGARqOBWq22+9zly5p/Ps3LS5x9/7VaLbKzs5GZmYktW7bgt99+w913323x2CUlJRaPrdPprK6no58TV9a3MpV9f4zPIzU1FYsXL0ZCQgJatWqlWCYhIQF9+/bFsmXLTLdZu3Ythg8fbnX9e/TogTp16ijWv3fv3tDpdPjjjz+sPr6913HdunW4/vrr0aZNG8VyxnIW89fEkc+Fuf3792PdunWYNWuWYjsGSNvaqsqEMHLl++LMtsWe+fPnIycnB2+88YbNZcxfU+PrYuTqNt6eBg0aKDKAoqOjMXToUBw8eBDp6ekAxDIhtVqtaLS8adMmZGdnK3rRGD3zzDPYuHGj6fYrVqxAt27dLD73W7ZsQV5eHgYNGqR43oGBgejatavV72Jlr5GjjKW8EydOVMx/+eWXAcD0u2rk6HbLXEVFBb7++ms8/vjjpvforrvuQv369a02rs7JycGmTZswaNAg07xHH30UKpUKa9eutfoYrVu3Rr169ZCcnIxRo0ahRYsW+OmnnxTZi55kfH979eqFnTt3YubMmejRowdatmyJXbt2WSy/ZMkS1KtXD/Xr10fXrl3x559/YuLEiRaZuRMmTED79u2Rl5eHzz77zOXPNBHVDCxDI6IazRgEqmxn1NGgkjXHjx+36IVkzliK0rp1a8X8kJAQXHfddabrjann1vog2bJz50788MMP2Lp1q8tlYKdOnUJ+fr7NXgXmDS+NB/SV9Q8CxJ1So8jISPTr1w9z5sxBQkKCYjnz18aW4uJixevduHFjvPzyy1ZL9LKyspCXl4dFixZh0aJFVu/PWjNPo1OnTkEQBLRs2dLq9dZKnbKysiAIAqZNm4YuXboAEPveXLp0CXFxcVYfAwCefvppm+uRn5+POnXqmC5nZ2fbXCdzS5YswZIlSyzmN23aVLEOzrz/a9aswZo1a0yXb775Znz++ecWt3vjjTesHlibv/eA458TV9bXHke+P2+++Sbee+89AEDLli2xfft2q9uK4cOHY/jw4Zg9ezbWrVuHOnXqmII15ut/6NAhm9sN8/V35HU8deoUjh075vB9OvK5MPfaa6+hR48eeOCBByx6Ht10000IDg7G9OnTER8fbypDMw/cuMuV74uj2xZ78vPz8c4772DixIlWP5OA5bbJGle28ZVp0aKFxUG5Mahz7tw5JCYmIjY21jQs+syZMwGIJWgNGza0+hnt2LEjbrjhBqxcuRKTJk3C8uXLMWXKFEWvNkB6P6zdByAGruQceY0cdf78eQQEBChKoQCYnq95Caij2y1zmzdvRlZWFm655RacPn3aNP/OO+/EV199hffee08RPP36669RXl6OTp06KZbv2rUrVq1ahTFjxlg8xjfffIPo6GgEBwejUaNGaN68eeUvgJtSUlKQkpKCkpIS7N+/H19//TUWLlyIBx54AMePH1dsXx966CGMHTsWKpUKUVFRaNeundVm3YGBgejUqRPOnDmDdu3aVflzICLvYrCIiGq0mJgYJCUl4dChQ3aXO3ToEBo2bGixY+uIZs2aWfTwWLdunc3ghKe9+uqrSElJwV133VVpw1Zb9Hq9zbOkACx27o1nmx3pRTBt2jT06NED5eXl2L9/P958803k5eVZNHg27iwbnTx50upOtVqtxg8//ABADPItXboUEyZMQFJSEgYOHGjxvABg8ODBNg8u27dvb3Pd9Xo9VCoVfvnlFwQGBlpcbx4sKyoqwsSJEzFo0CAkJSXhv//9LwDxgO27777Do48+ik8++URxNta4jh988AE6duxodT3kj1NWVoarV6/innvusbnecsadfLmpU6ea3kPjOjjz/t97772YNGkSAODSpUt47733cOedd2Lfvn0ICwszLTdy5EiLbJ3nnnvO6mM4+jlxZX3tceT78+yzz+Luu+/GpUuXMGfOHDz66KPYtWsXYmJiFMv17dsXISEh2LBhA5YtW4ann37aIgPHuP733HMPXnnlFauPZ5694cjrqNfrceONN5o+c+aMwRsjRz4Xcps3b8avv/6K3bt3W72+adOmWLZsGcaPH4/OnTsrrrP3HXOWs98XwPFtiz3GgMCkSZOQk5NjdRn5tslox44dePPNN516rKoydOhQrFu3Drt27cKNN96I77//Hi+88ILVzyggBnAXLFiAW265Benp6Rg4cCBmz56tWMb4fnzxxRdWfw+CgpSHElXxGjmaveLodsuccTtj/vti9Pvvv+POO++0WL579+5Wlz979qzFyKt33HGHaTS06hYeHo4ePXqgR48eiI+Px4wZM/DLL78ofjMbNWqk6KNFRAQwWEREtcADDzyAxYsXY+fOnbj99tstrt+xYwfOnTuHUaNGuXT/ERERFjtRqampisvGs/UnTpxQ7CSWlZUhLS3NdHvj2cQjR444tGO2YcMG7N69224plSOaN2+OX3/9Fd27d7e702z077//ol69eg6VnNx4442m59KnTx9cuHABK1asQEVFheJAwnxn2bxEwygwMFDx2vTt2xdxcXHYuHGjxc58vXr1EBUVBZ1O59KObvPmzSEIApKTky0O4K154403UFhYiNmzZyMhIQFHjx7Fpk2bsGHDBtx2220YP3483njjDTz++ONISkoyPQYgnoF3ZB3/+ecflJeX46abbnLoOVjbyZ87d64iKODs+5+UlKS4z9atW+O2227Dhg0bFKUXLVu2tHhsW0NH2/ucmHN2fW1x9PvTokULU/ZC79690aRJE6xevdqiqXhQUBCGDBmCt99+G0ePHrU54l7z5s1RVFTk8GfSkdexefPm+Oeff3D33Xc7dPDsyOfCSBAEvPbaa3j44Ydx66232rzPp556yjRc9hdffIE6depYLXFyh7PfF8DxbYstV65cwUcffYRZs2YhKirKZrDIfNsEwKKs0tltvCNOnz4NQRAU7/vJkycBQNFc2jhS3apVq9C1a1eUlJRgyJAhNu/3qaeewqRJkzB+/HgMGDDAajad8fnUr1/foefjyGvkqKZNm0Kv1+PUqVOKQScyMjKQl5dnkSXn6HZLrri4GN999x0ef/xxDBgwwOL6cePGYdWqVaZgUVpaGnbt2oWxY8eiZ8+eimX1ej2GDBmC1atXY+rUqS4956pm/F25evWql9eEiGoC9iwiohpv0qRJCAsLw6hRoyx28nNzc/H8888jPDzcdMaxKvTu3RshISH4+OOPIQiCaf6SJUuQn5+Pvn37AgA6d+6M5ORkzJ0712IHWn47QOyVNGXKFDz55JM2z7A7auDAgdDpdKbyBLmKigrFuhQWFuLnn3+2WXZQGb1ej4CAAI/1MjC+LtYyfwIDA/Hoo4/im2++wZEjRyyulw9zb80jjzyCwMBAzJgxw+L1FwRB8Xk6cuQIPv74Y8yYMQNJSUkICAgwHVjfdtttAMQR8aKiohQ9Nrp06YLmzZvjww8/NI1cZ28d161bh8DAwEqHI3eGM++/NaWlpQBgMVy1O+x9TtxdX8D1749xyHBbz/WZZ57B4cOHcccdd1hkD8jXf/fu3di0aZPFdXl5eVYDZJUZOHAgLl++bHWkstLSUhQXFzt9n0Zr1qzBoUOHTKPv2XLgwAG88cYbePfdd/HYY4+hd+/eDvfWcpSz3xdPmDFjBhISEvD888+7fV/ObOMddeXKFcXIXwUFBVi5ciU6duyoyPYJCgrCoEGDsHbtWixfvhw33nij3ayvuLg4PPTQQzh06JCiTFQuJSUF0dHReOedd6z2vKqK98PIOKKk+eiBxuw64++qLY5st9avX4/i4mKMGTMGAwYMsPh74IEH8M0335juw5hV9Morr1gsO3DgQPTs2dNmRmR12rp1q9X5xkxOT5RuElHtx8wiIqrxWrZsiRUrVuCpp57CjTfeiBEjRiA5ORnnzp3DkiVLkJ2dja+++qpKewTUq1cPkydPxowZM3DffffhwQcfxIkTJ7BgwQLcfPPNprPvAQEB+PTTT9GvXz907NgRw4cPR1JSEo4fP27KUjG6dOkSQkJCrJbpOKtnz54YNWoUZs2ahdTUVNx7770IDg7GqVOnsG7dOnz00UcYMGAA1q5dixkzZuDatWt47bXXHLrv1NRUREZGoqKiAvv378fKlSvx0EMPWQ3uOEKn02Hjxo0AxMDVsmXLUFxcjP79+1td/t1338W2bdvQtWtXPPfcc2jbti1yc3Nx4MAB/Prrr8jNzbX5WM2bN8dbb72FyZMn49y5c+jfvz+ioqKQlpaG9evXY+TIkfi///s/AMALL7yAdu3a4cUXX7R5f5GRkZgzZw4GDhyI5557DnfddRcCAgLw+eefo0+fPmjXrh2GDx+Ohg0b4vLly9i2bRuio6Pxww8/oLi4GPPnz8fHH3+MVq1aYfv27ab7NR40Hzp0CLt370a3bt2cek0dff+Nzp49iy+//BIAcPnyZcybNw/R0dEONYu1xZnPibPra40j35+ff/4Zn3/+OW677TbExcXh7NmzWLx4MSIiIhQNheWuv/56ZGdn2814mjRpEr7//ns88MADGDZsGLp06YLi4mIcPnwY//vf/3Du3DmnS1KGDBmCtWvX4vnnn8e2bdvQvXt36HQ6HD9+HGvXrsWmTZsczkYzt3nzZjz33HN2DyBLSkrw5JNPolevXlb7hznixIkTpu+2UVFREQICArBx40bcd999Dn9fPGnz5s1YtWoVQkJC3L4vZ7bxjmrVqhVGjBiBv//+GwkJCVi6dCkyMjJMzdblhg4dio8//hjbtm0z9eGyZ/ny5Zg/f77Nz2N0dDQ+/fRTDBkyBJ07d8YTTzyBevXq4cKFC/jpp5/QvXt3zJs3z+nn5IgOHTrg6aefxqJFi5CXl4eePXvir7/+wooVK9C/f39FaRjg2nZr1apVqFu3ringb+7BBx/E4sWL8dNPP+GRRx7BqlWr0LFjR4uyT/nyL774Ig4cOGBRrumIpUuXWnxHAGD8+PGIiopCr1698Pvvv1caeHzooYeQnJyMfv36oXnz5iguLsavv/6KH374ATfffDP69evn9LoRkf9hsIiIaoXHHnsMbdq0waxZs0wBorp16+LOO+/ElClTPNps1Jbp06ejXr16mDdvHl566SXExcVh5MiReOeddxSNklNSUrBt2zbMmDEDs2fPhl6vR/Pmza32ehk9erSizMAdCxcuRJcuXfDZZ59hypQpCAoKQrNmzTB48GBT74U1a9aYepM4mo3x9ttvAxDPajds2BCjR4/GjBkzXF5PjUaDPn36ABCDL61atcIXX3xh8yxyQkIC/vrrL7z55pv49ttvsWDBAtStWxft2rVz6GDptddeQ6tWrTBnzhzTejdu3Bj33nsvHnzwQQDAypUrsXPnTuzcubPSINhjjz2Ge+65B2PGjME///yDkJAQ9OrVC7t378bMmTMxb948FBUVITExEV27djWVR2ZlZeHVV18FABw7dsxq+cj69esRHR3tdLAIcOz9N9qxYwd27NgBAIiPj0fnzp0xY8YMmwdIjnD2c+LM+tpS2fenadOmKC4uxrvvvovCwkIkJCTgrrvuwpQpU+w2gq6sPDM8PBy///473nnnHaxbtw4rV65EdHQ0WrVqhRkzZlj0QnJEQEAANmzYgDlz5mDlypVYv349wsPDcd1112H8+PEOlVHaEhYWhunTp9td5qWXXkJ2djZ+++03l7MGP//8c5sNh/v06WM6AHbk++JJHTt2tFmm5ApntvGOaNmyJT755BNMmjQJJ06cQHJyMr7++mukpKRYLNulSxe0a9cOx44dw1NPPVXpfYeFhVVa6vnkk0+iQYMGePfdd/HBBx9Aq9WiYcOG6NGjh9XRAD3p888/x3XXXYfly5dj/fr1SExMxOTJk602hHd2u5WZmYlff/0VgwYNsrldv/vuuxEeHo4vv/wSzZo1w/Hjx/H666/bXN9+/frhxRdfxJdffulSsOjTTz+1On/YsGGIiooyfRcq8/nnn+O7777D2rVrceXKFQiCgOuuuw7/+c9/8Oqrr1r0miIiskYluJoTS0RERB5z7tw5JCcnIy0tzWaAY/r06Th37pzLjc6JfNH27dtx5513ulymVZs1a9YMN9xwA3788UeHb9OpUyfExcXZLEWimqmwsBBxcXGYO3eu0w3ciYhcwZ5FRERERES1wL59+5CamoqhQ4d6e1XIw/744w80bNjQ5Qw1IiJnMQeRiIjIB0RGRuKpp56yGBZcrn379mjQoEE1rhVR1YuLi7NaUkWOO3LkCPbv34/Zs2cjKSkJjz/+uLdXiTysb9++lTb1JiLyJJahERERERH5IEfL0KZPn44333wTrVu3xsKFCy2GdSciInKWR8rQLl++jMGDB6Nu3boICwvDjTfeiH379tm9zfbt29G5c2eEhoaiRYsWVvsvzJ8/H82aNYNarUbXrl3x119/Ka6fOHEi4uLi0LhxY4thKtetW8dO/0RERERUY507d86hfkXTp0+HXq/HsWPHGCgiIiKPcDtYdO3aNXTv3h3BwcH45Zdf8O+//2L27NmoU6eOzdukpaWhb9++uPPOO5GamooJEybg2WefVQwn+vXXX2PixIl44403cODAAXTo0AEpKSnIzMwEAPzwww9YvXo1Nm/ejPfffx/PPvsssrOzAQD5+fn4z3/+g/nz57v79IiIiIiIiIiI/IrbZWivvfYa/vzzT9NQlY549dVX8dNPP+HIkSOmeU888QTy8vKwceNGAEDXrl1x8803Y968eQAAvV6Pxo0b48UXX8Rrr72G999/HwcOHMCaNWsAiEMn//jjj7j55psxatQotGnTBi+99JI7T42IiIiIiIiIyO+43eD6+++/R0pKCh577DH8/vvvaNiwIV544QW7nfp3796N3r17K+alpKRgwoQJAICysjLs378fkydPNl0fEBCA3r17Y/fu3QCADh06YNGiRbh27RrOnj2L0tJStGjRAjt37sSBAwewYMGCStddq9VCq9WaLuv1euTm5qJu3bpQqVTOvAxERERERERERD5LEAQUFhaiQYMGCAiwX2jmdrDo7Nmz+PTTTzFx4kRMmTIFf//9N8aNG4eQkBA8/fTTVm+Tnp6OhIQExbyEhAQUFBSgtLQU165dg06ns7rM8ePHAYjBpcGDB+Pmm29GWFgYVqxYgYiICIwePRrLly/Hp59+ik8++QTx8fFYtGgR2rVrZ7Ees2bNwowZM9x9CYiIiIiIiIiIaoSLFy+iUaNGdpdxO1ik1+tx00034Z133gEAdOrUCUeOHMHChQttBos8Zfr06Zg+fbrp8owZM9C7d28EBwfjrbfewuHDh/Hjjz9i6NCh2L9/v8XtJ0+ejIkTJ5ou5+fno0mTJrh48SKio6OrdN2JiIiIiIiIiKpLQUEBGjdujKioqEqXdTtYlJSUhLZt2yrmXX/99fjmm29s3iYxMREZGRmKeRkZGYiOjkZYWBgCAwMRGBhodZnExESr93n8+HF8+eWXOHjwIJYuXYo77rgD9erVw8CBA/HMM8+gsLDQ4gUJDQ1FaGioxX1FR0czWEREREREREREtY4jbXfcHg2te/fuOHHihGLeyZMn0bRpU5u36datG7Zu3aqYt2XLFnTr1g0AEBISgi5duiiW0ev12Lp1q2kZOUEQMGrUKPz3v/9FZGQkdDodysvLAcD0X6fTufYEiYiIiIiIiIj8iNvBopdeegl79uzBO++8g9OnT2P16tVYtGgRxowZY1pm8uTJGDp0qOny888/j7Nnz+KVV17B8ePHsWDBAqxdu1YxetnEiROxePFirFixAseOHcPo0aNRXFyM4cOHW6zD559/jnr16qFfv34AxADWb7/9hj179mDOnDlo27YtYmNj3X2qRERERERERES1nttlaDfffDPWr1+PyZMn480330RycjLmzp2Lp556yrTM1atXceHCBdPl5ORk/PTTT3jppZfw0UcfoVGjRvj888+RkpJiWubxxx9HVlYWpk2bhvT0dHTs2BEbN260aHqdkZGBt99+G7t27TLNu+WWW/Dyyy+jb9++qF+/PlasWOHu0yQiIiIiIiIi8gsqQRAEb6+ErygoKEBMTAzy8/PZs4iIiIiIiIiomsjbyZDrgoODERgYaPU6Z2IebmcWERERERERERG5QhAEpKenIy8vz9urUmvExsYiMTHRoUbWtjBYREREREREREReYQwU1a9fH+Hh4W4FOPydIAgoKSlBZmYmAHH0elcxWERERERERERE1U6n05kCRXXr1vX26tQKYWFhAIDMzEzUr1/fZklaZdweDY2IiIiIiIiIyFnGHkXh4eFeXpPaxfh6utMDisEiIiIiIiIiIvIalp55lideTwaLiIiIiIiIiIjIhMEiIiIiIiIiIiIyYbCIiIiIiIiIiMgFu3fvRmBgIPr27Wtzma+++gqBgYEYM2aMxXXbt2+HSqUy/SUkJODRRx/F2bNnTcs0a9YMc+fOrYrVt4nBIiIiIiIiIiIiFyxZsgQvvvgi/vjjD1y5csXmMq+88gq++uoraDQaq8ucOHECV65cwbp163D06FH069cPOp2uKlfdLgaLiIiIiIiIiIicVFRUhK+//hqjR49G3759sXz5cotl0tLSsGvXLrz22mto1aoVvv32W6v3Vb9+fSQlJeGOO+7AtGnT8O+//+L06dNV/AxsY7CIiIiIiIiIiMhJa9euRZs2bdC6dWsMHjwYS5cuhSAIimWWLVuGvn37IiYmBoMHD8aSJUsqvd+wsDAAQFlZWZWstyOCvPbIRERERERERETmNt4ElKZX72OGJQL37XPqJkuWLMHgwYMBAPfddx/y8/Px+++/o1evXgAAvV6P5cuX45NPPgEAPPHEE3j55ZeRlpaG5ORkq/d59epVfPjhh2jYsCFat27t+vNxE4NFREREREREROQ7StOB0sveXgu7Tpw4gb/++gvr168HAAQFBeHxxx/HkiVLTMGiLVu2oLi4GPfffz8AID4+Hvfccw+WLl2KmTNnKu6vUaNGEAQBJSUl6NChA7755huEhIRU63OSY7CIiIiIiIiIiHxHWKLPP+aSJUtQUVGBBg0amOYJgoDQ0FDMmzcPMTExWLJkCXJzc01lZYCYbXTo0CHMmDEDAQFSZ6AdO3YgOjoa9evXR1RUlPvPx00MFhERERERERGR73CyHKy6VVRUYOXKlZg9ezbuvfdexXX9+/fHV199hcceewzfffcd1qxZg3bt2pmu1+l0uP3227F582bcd999pvnJycmIjY2trqdQKQaLiIiIiIiIiIgc9OOPP+LatWsYMWIEYmJiFNc9+uijWLJkCTQaDerWrYuBAwdCpVIplrn//vuxZMkSRbCoMpcvX0ZqaqpiXtOmTVGnTh2Xn4c9HA2NiIiIiIiIiMhBS5YsQe/evS0CRYAYLNq3bx8mTpyIhx9+2CJQZFzm+++/R3Z2tsOP+eGHH6JTp06Kv59++smt52GPSjAf182PFRQUICYmBvn5+YiOjvb26hARERERERHVWhqNxjQymFqt9vbq1Bq2XldnYh7MLCIiIiIiIiIiIhMGi4iIiIiIiIiIyITBIiIiIiIiIiIiMmGwiIiIiIiIiIiITBgsIiIiIiIiIiIiEwaLiIiIiIiIiIjIhMEiIiIiIiIiIiIyYbCIiIiIiIiIiIhMGCwiIiIiIiIiIiITBouIiIiIiIiIiMiEwSIiIiIiIiIiIidkZWVh9OjRaNKkCUJDQ5GYmIiUlBT8+eefAIBmzZpBpVJBpVIhIiICnTt3xrp166DVatGuXTuMHDnS4j5feeUVJCcno7CwsLqfjgUGi4iIiIiIiIiInPDoo4/i4MGDWLFiBU6ePInvv/8evXr1Qk5OjmmZN998E1evXsXBgwdx88034/HHH8f+/fuxcuVKLF++HJs2bTItu2fPHsyZMwfLly9HVFSUN56SQpC3V4CIiIiIiIiIqKbIy8vDjh07sH37dvTs2RMA0LRpU9xyyy2K5aKiopCYmIjExETMnz8fX375JX744QfMmjUL//nPfzBixAgcOXIEarUaw4cPx4svvmi6P29jZhERERERERERkYMiIyMRGRmJDRs2QKvVOnSboKAgBAcHo6ysDADwn//8B4mJiRg3bhymTp0KlUqFd955pypX2ynMLCIiIiIiIiIin3HTTUB6evU+ZmIisG+fY8sGBQVh+fLleO6557Bw4UJ07twZPXv2xBNPPIH27dtbLF9WVobZs2cjPz8fd911l+k+Vq5ciS5dukCv1+PPP/+EWq325FNyi0oQBMHbK+ErCgoKEBMTg/z8fERHR3t7dYiIiIiIiIhqLY1Gg7S0NCQnJysCJY0aAZcvV++6NGwIXLrk3G00Gg127NiBPXv24JdffsFff/2Fzz//HMOGDUOzZs1w9epVBAcHQ6PRIDIyEpMnT8arr76quI/BgwcjLy8PP/74o8eei63X1ZmYBzOLiIiIiIiIiMhnJCbWjMdUq9W45557cM899+D111/Hs88+izfeeAPDhg0DAEyaNAnDhg1DZGQkEhISoFKpLO4jKCgIQUG+F5rxvTUiIiIiIiIiIr/laDmYr2nbti02bNhguhwfH48WLVp4b4XcwGAREREREREREZGDcnJy8Nhjj+GZZ55B+/btERUVhX379uH999/HQw895O3V8wgGi4iIiIiIiIiIHBQZGYmuXbtizpw5OHPmDMrLy9G4cWM899xzmDJlirdXzyPY4FqGDa6JiIiIiIiIqoetRszkHk80uA6o6pUkIiIiIiIiIqKaw+1g0fTp06FSqRR/bdq0sXubdevWoU2bNlCr1bjxxhvx888/K64XBAHTpk1DUlISwsLC0Lt3b5w6dcp0vVarxZAhQxAdHY1WrVrh119/Vdz+gw8+wIsvvujuUyMiIiIiIiIi8jseySxq164drl69avrbuXOnzWV37dqFQYMGYcSIETh48CD69++P/v3748iRI6Zl3n//fXz88cdYuHAh9u7di4iICKSkpECj0QAAFi1ahP3792P37t0YOXIknnzySRir6dLS0rB48WK8/fbbnnhqRERERERERER+xSPBoqCgICQmJpr+4uPjbS770Ucf4b777sOkSZNw/fXXY+bMmejcuTPmzZsHQMwqmjt3LqZOnYqHHnoI7du3x8qVK3HlyhXTEHTHjh3Dgw8+iHbt2mHMmDHIyspCdnY2AGD06NF477332HOIiIiIiIiIiMgFHgkWnTp1Cg0aNMB1112Hp556ChcuXLC57O7du9G7d2/FvJSUFOzevRuAmBmUnp6uWCYmJgZdu3Y1LdOhQwfs3LkTpaWl2LRpE5KSkhAfH49Vq1ZBrVbj4Ycf9sTTIiIiIiIiIqIqxnG3PMsTr2eQu3fQtWtXLF++HK1bt8bVq1cxY8YM9OjRA0eOHEFUVJTF8unp6UhISFDMS0hIQHp6uul64zxbyzzzzDM4dOgQ2rZti/j4eKxduxbXrl3DtGnTsH37dkydOhVr1qxB8+bNsXTpUjRs2NDqumu1Wmi1WtPlgoIC118IIiIiIiIiInJYcHAwAKCkpARhYWFeXpvao6SkBID0+rrC7WBRnz59TNPt27dH165d0bRpU6xduxYjRoxw9+6tCg4Oxvz58xXzhg8fjnHjxuHgwYPYsGED/vnnH7z//vsYN24cvvnmG6v3M2vWLMyYMaNK1pGIiIiIiIiIbAsMDERsbCwyMzMBAOHh4VCpVF5eq5pLEASUlJQgMzMTsbGxCAwMdPm+3A4WmYuNjUWrVq1w+vRpq9cnJiYiIyNDMS8jIwOJiYmm643zkpKSFMt07NjR6n1u27YNR48exeeff45Jkybh/vvvR0REBAYOHGjqhWTN5MmTMXHiRNPlgoICNG7c2KHnSURERERERETuMcYAjAEjcl9sbKzpdXWVx4NFRUVFOHPmDIYMGWL1+m7dumHr1q2YMGGCad6WLVvQrVs3AEBycjISExOxdetWU3CooKAAe/fuxejRoy3uT6PRYMyYMVi1ahUCAwOh0+lM9Xnl5eXQ6XQ21zU0NBShoaEuPlMiIiIiIiIicodKpUJSUhLq16+P8vJyb69OjRccHOxWRpGR28Gi//u//0O/fv3QtGlTXLlyBW+88QYCAwMxaNAgAMDQoUPRsGFDzJo1CwAwfvx49OzZE7Nnz0bfvn2xZs0a7Nu3D4sWLQIgflAmTJiAt956Cy1btkRycjJef/11NGjQAP3797d4/JkzZ+L+++9Hp06dAADdu3fHpEmTMHz4cMybNw/du3d39ykSERERERERURUKDAz0SJCDPMPtYNGlS5cwaNAg5OTkoF69erj99tuxZ88e1KtXDwBw4cIFBARIg67ddtttWL16NaZOnYopU6agZcuW2LBhA2644QbTMq+88gqKi4sxcuRI5OXl4fbbb8fGjRuhVqsVj33kyBGsXbsWqamppnkDBgzA9u3b0aNHD7Ru3RqrV6929ykSEREREREREfkNlcAx6kwKCgoQExOD/Px8REdHe3t1iIiIiIiIiIg8wpmYR4Dda4mIiIiIiIiIyK8wWERERERERERERCYMFhERERERERERkQmDRUREREREREREZMJgERERERERERERmTBYREREREREREREJgwWERERERERERGRCYNFRERERERERERkwmARERERERERERGZMFhEREREREREREQmDBYREREREREREZEJg0VERERERERERGTCYBEREREREREREZkwWERERERERERERCYMFhERERERERERkQmDRUREREREREREZMJgERERERERERERmTBYREREREREREREJgwWERERERERERGRCYNFRERERERERERkwmARERERERERERGZMFhEREREREREREQmDBYREREREREREZEJg0VERERERERERGTCYBGRPyrLB85/DWgyvb0mRERERERE5GMYLCLyR3+NBP58AtjxqLfXhIiIiIiIiHwMg0VE/ih3v/g/ew8gCN5dFyIiIiIiIvIpDBYR+SNdqfhfqAB0Jd5dFyIiIiIiIvIpDBYR+SNjsAgAyq55bz2IiIiIiIjI5zBYROSPGCwiIiIiIiIiGxgsIvI3ggDoNNJlBouIiIiIiIhIhsEiIn8jDxQBQFmeV1aDiIiIiIiIfBODRUT+Rl6CBjCziIiIiIiIiBQYLCLyNwwWERERERERkR0MFhH5GwaLiIiIiIiIyA4Gi4j8jUWwKM8rq0FERERERES+icEiIn9TwcwiIiIiIiIiso3BIiJ/ozcfDY3BIiIiIiIiIpIwWETkb8wzi8oZLCIiIiIiIiIJg0VE/oY9i4iIiIiIiMgOjweL3n33XahUKkyYMMHucuvWrUObNm2gVqtx44034ueff1ZcLwgCpk2bhqSkJISFhaF37944deqU6XqtVoshQ4YgOjoarVq1wq+//qq4/QcffIAXX3zRY8+LqNbgaGhERERERERkh0eDRX///Tc+++wztG/f3u5yu3btwqBBgzBixAgcPHgQ/fv3R//+/XHkyBHTMu+//z4+/vhjLFy4EHv37kVERARSUlKg0Yj9VhYtWoT9+/dj9+7dGDlyJJ588kkIggAASEtLw+LFi/H222978ukR1Q4MFhEREREREZEdHgsWFRUV4amnnsLixYtRp04du8t+9NFHuO+++zBp0iRcf/31mDlzJjp37ox58+YBELOK5s6di6lTp+Khhx5C+/btsXLlSly5cgUbNmwAABw7dgwPPvgg2rVrhzFjxiArKwvZ2dkAgNGjR+O9995DdHS0p54eUe1hHizSlQI6rXfWhYiIiIiIiHyOx4JFY8aMQd++fdG7d+9Kl929e7fFcikpKdi9ezcAMTMoPT1dsUxMTAy6du1qWqZDhw7YuXMnSktLsWnTJiQlJSE+Ph6rVq2CWq3Gww8/7KmnRlS7mAeLAPYtIiIiIiIiIpMgT9zJmjVrcODAAfz9998OLZ+eno6EhATFvISEBKSnp5uuN86ztcwzzzyDQ4cOoW3btoiPj8fatWtx7do1TJs2Ddu3b8fUqVOxZs0aNG/eHEuXLkXDhg0t1kOr1UKrlTIqCgoKHH/SRDWV+WhogFiKFpZgOZ+IiIiIiIj8jtuZRRcvXsT48eNNGT3VJTg4GPPnz0daWhr+/vtv3H777Xj55Zcxbtw4HDx4EBs2bMA///yDW2+9FePGjbN6H7NmzUJMTIzpr3HjxtW2/kReYzWziH2LiIiIiIiISOR2sGj//v3IzMxE586dERQUhKCgIPz+++/4+OOPERQUBJ1OZ3GbxMREZGRkKOZlZGQgMTHRdL1xnq1lzG3btg1Hjx7F2LFjsX37dtx///2IiIjAwIEDsX37dqu3mTx5MvLz801/Fy9edPbpE9U8DBYRERERERGRHW4Hi+6++24cPnwYqamppr+bbroJTz31FFJTUxEYGGhxm27dumHr1q2KeVu2bEG3bt0AAMnJyUhMTFQsU1BQgL1795qWkdNoNBgzZgw+++wzBAYGQqfToby8HABQXl5uNWAFAKGhoYiOjlb8EdV61oJF5XnVvhpERERERETkm9zuWRQVFYUbbrhBMS8iIgJ169Y1zR86dCgaNmyIWbNmAQDGjx+Pnj17Yvbs2ejbty/WrFmDffv2YdGiRQAAlUqFCRMm4K233kLLli2RnJyM119/HQ0aNED//v0t1mHmzJm4//770alTJwBA9+7dMWnSJAwfPhzz5s1D9+7d3X2aRLUHM4uIiIiIiIjIDo80uK7MhQsXEBAgJTHddtttWL16NaZOnYopU6agZcuW2LBhgyLo9Morr6C4uBgjR45EXl4ebr/9dmzcuNGiL9KRI0ewdu1apKammuYNGDAA27dvR48ePdC6dWusXr26yp8jUY3BYBERERERERHZoRIEQfD2SviKgoICxMTEID8/nyVpVHv9/iBw+QflvDYTgc6zvbM+REREREREVOWciXm43bOIiGoYq5lFedW+GkREREREROSbGCwi8jcsQyMiIiIiIiI7GCwi8jcVDBYRERERERGRbQwWEfkbY2ZRUBQQECxOM1hEREREREREBgwWEfkbU7AoDAipI04zWEREREREREQGDBYR+RtjsCgwDAiOFafL87y1NkRERERERORjGCwi8jfyYJExs6i8ANDrvLdORERERERE5DMYLCLyN9aCRQCzi4iIiIiIiAgAg0VE/kWvA/Tl4rR5sIh9i4iIiIiIiAgMFhH5F2NWEWAIFsVKl8vyqnttiIiIiIiIyAcxWETkTyyCRcwsIiIiIiIiIiUGi4j8iTxYFMRgEREREREREVlisIjInzCziIiIiIiIiCrBYBGRP9FppOlANRAcK13maGhEREREREQEBouI/Aszi4iIiIiIiKgSDBYR+RMGi4iIiIiIiKgSDBYR+ZMKBouIiIiIiIjIPgaLiPyJRWZRrHS5LK+614aIiIiIiIh8EINFRP7EPFgUHA1AJV5mZhERERERERGBwSIi/yIPFgWFAaoAKbuIwSIiIiIiIiICg0VE/sU8swiQ+hYxWERERERERERgsIjIv1gLFgXHiv/L8wBBqO41IiIiIiIiIh/DYBGRPzEfDQ2QMosEPVBRWP3rRERERERERD6FwSIif2KvDA1gKRoRERERERExWETkVxgsIiIiIiIiokowWETkT8xHQwOk0dAAoCyvOteGiIiIiIiIfBCDRUT+RKeRpgPU4n9mFhEREREREZEMg0VE/sRqZhGDRURERERERCRhsIjIn7BnEREREREREVWCwSIif2ItWBQcK81jzyIiIiIiIiK/x2ARkT+pkAeL2LOIiIiIiIiILDFYRORPjJlFAaGAyvD1Z7CIiIiIiIiIZBgsIvInxmCRsQQNYLCIiIiIiIiIFBgsIvInxmBRkDxYFCtNl+dV59oQERERERGRD2KwiMifWMssCggCgiLFaWYWERERERER+T0Gi4j8ibVgESCVojFYRERERERE5PcYLCLyF4LgWLBIEKp3vYiIiIiIiMinMFhE5C/05YCgF6dtBYv0ZYBOU73rRURERERERD6FwSIif2HMKgKAQLXyOnmTa5aiERERERER+TUGi4j8hTxjyFZmEcBgERERERERkZ9jsIjIXygyi8yCRcEMFhEREREREZHI7WDRp59+ivbt2yM6OhrR0dHo1q0bfvnlF7u3WbduHdq0aQO1Wo0bb7wRP//8s+J6QRAwbdo0JCUlISwsDL1798apU6dM12u1WgwZMgTR0dFo1aoVfv31V8XtP/jgA7z44ovuPjWi2kUeLAqyk1lUnlctq0NERERERES+ye1gUaNGjfDuu+9i//792LdvH+666y489NBDOHr0qNXld+3ahUGDBmHEiBE4ePAg+vfvj/79++PIkSOmZd5//318/PHHWLhwIfbu3YuIiAikpKRAoxHLaBYtWoT9+/dj9+7dGDlyJJ588kkIhhGc0tLSsHjxYrz99tvuPjWi2sVeZhF7FhEREREREZGBShA8P052XFwcPvjgA4wYMcLiuscffxzFxcX48ccfTfNuvfVWdOzYEQsXLoQgCGjQoAFefvll/N///R8AID8/HwkJCVi+fDmeeOIJvPDCC4iOjsa7776L0tJShIeHIzMzE/Xq1cN9992HUaNG4eGHH3Z6vQsKChATE4P8/HxER0e7/gIQ+aKsP4Ett4vTbSYCnWdL16V9CeweIk53+QhoPa7614+IiIiIiIiqjDMxD4/2LNLpdFizZg2Ki4vRrVs3q8vs3r0bvXv3VsxLSUnB7t27AYiZQenp6YplYmJi0LVrV9MyHTp0wM6dO1FaWopNmzYhKSkJ8fHxWLVqFdRqtcOBIq1Wi4KCAsUfUa1lN7OIPYuIiIiIiIhIFOSJOzl8+DC6desGjUaDyMhIrF+/Hm3btrW6bHp6OhISEhTzEhISkJ6ebrreOM/WMs888wwOHTqEtm3bIj4+HmvXrsW1a9cwbdo0bN++HVOnTsWaNWvQvHlzLF26FA0bNrS6LrNmzcKMGTPceu5ENUaFo8GivGpZHSIiIiIiIvJNHsksat26NVJTU7F3716MHj0aTz/9NP79919P3LVVwcHBmD9/PtLS0vD333/j9ttvx8svv4xx48bh4MGD2LBhA/755x/ceuutGDfOdjnN5MmTkZ+fb/q7ePFila0zkdexZxERERERERE5wCPBopCQELRo0QJdunTBrFmz0KFDB3z00UdWl01MTERGRoZiXkZGBhITE03XG+fZWsbctm3bcPToUYwdOxbbt2/H/fffj4iICAwcOBDbt2+3ud6hoaGmUdyMf0S1lqOjoTFYRERERERE5Nc82rPISK/XQ6vVWr2uW7du2Lp1q2Leli1bTD2OkpOTkZiYqFimoKAAe/futdoHSaPRYMyYMfjss88QGBgInU6H8vJyAEB5eTl0Op2nnhZRzcaeRUREREREROQAt4NFkydPxh9//IFz587h8OHDmDx5MrZv346nnnoKADB06FBMnjzZtPz48eOxceNGzJ49G8ePH8f06dOxb98+jB07FgCgUqkwYcIEvPXWW/j+++9x+PBhDB06FA0aNED//v0tHn/mzJm4//770alTJwBA9+7d8e233+LQoUOYN28eunfv7u5TJKod7AWLAtXiHwCU51XbKhEREREREZHvcbvBdWZmJoYOHYqrV68iJiYG7du3x6ZNm3DPPfcAAC5cuICAACkmddttt2H16tWYOnUqpkyZgpYtW2LDhg244YYbTMu88sorKC4uxsiRI5GXl4fbb78dGzduhFqtVjz2kSNHsHbtWqSmpprmDRgwANu3b0ePHj3QunVrrF692t2nSFQ7KIJFasvrg2MBXTozi4iIiIiIiPycShAEwdsr4SsKCgoQExOD/Px89i+i2uef14Gjb4nTd24Cku5VXv9jW6DgGBAUAQwsqv71IyIiIiIioirjTMyjSnoWEZEPsleGBkh9iyqKAX159awTERERERER+RwGi4j8hU4jTdsLFgEsRSMiIiIiIvJjDBYR+YtKM4tipemyvKpeGyIiIiIiIvJRDBYR+Qt5sCiImUVERERERERkHYNFRP7C0Z5FAINFREREREREfozBIiJ/wWAREREREREROYDBIiJ/UVmwKDhWmi7Pq+q1ISIiIiIiIh/FYBGRv6gwBotUQECI5fXMLCIiIiIiIiIwWETkP4yZRYFhgEpleT2DRURERERERAQGi4j8hzFYZG0kNMAzwaKCU8D+iUDWn67dnoiIiIiIiLyOwSIif2EMFgWorV8fEitNl+W59hgHXwZOzAH+fNK12xMREREREZHXMVhE5C/kZWjWeCKzqOis+L/kAiDoXbsPIiIiIiIi8ioGi4j8RWVlaEGRgCpQnHY1WKTTSNP6Mtfug4iIiIiIiLyKwSIifyAIUiDHVmaRSiVlF7kcLCqVTWtduw8iIiIiIiLyKgaLiPyBXha4sRUsAmTBojzXHkeRWcRgERERERERUU3EYBGRP5Bn/NgLFgXHiv/L813rOcTMIiIiIiIiohqPwSIif1DhYLDI1ORaEANGzhAEZbCImUVEREREREQ1EoNFRP7A0cwid0ZEM29ozcwiIiIiIiKiGonBIiJ/IA8W2RoNDTALFuW5/hgAM4uIiIiIiIhqKAaLiPyBw5lFsdK0s5lF8ubWADOLiIiIiIiIaigGi4j8QXWUoTGziIiIiIiIqFZgsIjIHzjd4BrMLCKqahe+AX7tCVz+0dtrQrVZwUngt3uBwzO8vSZERERUgzBYROQPFJlFatvLsWcRUbUp2/sq9u7SoOLA695eFarNTs4D0rcAh6cDxRe8vTZERERUQzBYROQPvNGziMEiItv0FRj0wXu49Y29ePa/r3l7bag202RK06Xp3lsPIiIiqlEYLCLyB97oWcQyNCLbtDnYcvgeAMBvh2/z8spQrSbfNlcUem89iIiIqEZhsIjIH7DBNZFPKS/KRKEmGgCgKQ/18tpQrSbP+ixnsIiIiIgcw2ARkT+QB3KCHAwWlec5+RhscE3kqGsZUjC2tCwMEPReXBuq1eTb//IC760HERER1SgMFhH5A3kgx15mUVC0NM3MIqIqk5shHbRrytWWwVYiT2EZGhEREbmAwSIif+BoGVpAIBAcI0672+CamUVENuVmlpimK3TBqNCW2lmayA3MLCIiIiIXMFhE5A8qHAwWAVIpGjOLiKpMbpby+6IpZmYRVRFFsIiZRUREROQYBouI/IGjmUWALFiUBwiCE4/BzCIiR+XmVCgulxbz+0JVRL5tZhkaEREROYjBIiJ/4FSwKFb8L1QAFcWuPQbAzCIiO3JylIFYTXGZl9aEaj2WoREREZELGCwi8geOjoYGKEdEc6YUzTyzSM+DXyJbcnOVP7+lDBZRVWEZGhEREbmAwSIif+BKGRrgZLDILLOIZWhENuXmBSsuM1hEVUIQlIF8ZhYRERGRgxgsIvIHimCR2v6y8mBReZ5rjwGwDI3Ijtx85fdQU1LupTWhWs0845M9i4iIiMhBDBYRpW8FfmwLbL7NuR49NYkzmUXBsdK0O2VozCwisq6iGLmF0YpZpSU6L60M1WrmQXxmFhEREZGDGCwi/yXogaOzgG33AgXHgOzdwMVvvb1WVaPCcMCgCgQCgu0v66kyNGYWEVmnyURucZxyVmmFjYWJ3GAexGfPIiIiInIQg0Xkn8rygD8eBv6ZIgaNjK6lemuNqpYxkFNZVhHguQbXzCwisk6TidwiZbCImUVUJcyD+CxDIyIiIgcFeXsFiKrdtX+AHY8CRWcMM1QABOm62sjlYFGe849hxMwiIus0mcgtaqWcVcpgEVUBizK0QrHptUrlnfUhIiKiGoOZReQYQQAydwCFZypf1pedXQlsvlUKFIXEAb1+BtQJ4uW8VPG51jZOBYtipWl3MosYLCKySleShbySOop5pSV6G0sTucE8WASh9vbmIyIiIo9yO1g0a9Ys3HzzzYiKikL9+vXRv39/nDhxotLbrVu3Dm3atIFarcaNN96In3/+WXG9IAiYNm0akpKSEBYWht69e+PUqVOm67VaLYYMGYLo6Gi0atUKv/76q+L2H3zwAV588UV3nx4ZnfsS+PUOYGNnoOSSt9fGeTot8NdoYM/TUlAj7iagzwGgwX1AbAdxnjYHKL3ivfWsKsbnHFSVZWhmByUsQyOyKi/LssmwRlMLg9TkfRbBIrDJNRERETnE7WDR77//jjFjxmDPnj3YsmULysvLce+996K42PaZq127dmHQoEEYMWIEDh48iP79+6N///44cuSIaZn3338fH3/8MRYuXIi9e/ciIiICKSkp0GjEg95FixZh//792L17N0aOHIknn3wSgiEjJC0tDYsXL8bbb7/t7tMjo+w94v/yAuDcKu+ui7OKLwBbegCnF0rzWowE7tkBRDQVL9fpKF1XG/sWVUvPIpahETkiN9Py97G0lMEiqgLmGZ8A+xYRERGRQ9wOFm3cuBHDhg1Du3bt0KFDByxfvhwXLlzA/v37bd7mo48+wn333YdJkybh+uuvx8yZM9G5c2fMmzcPgJhVNHfuXEydOhUPPfQQ2rdvj5UrV+LKlSvYsGEDAODYsWN48MEH0a5dO4wZMwZZWVnIzs4GAIwePRrvvfceoqOjba0COUuetn5+jffWw1lXN4vZULl/i5cD1cCty4BbPhOnjep0kKbzalnfIr0O0JeJ044Ei4JjpenyPMcfhw2uyVzpVWDHY8A/U2tneaeLcjItvxsaKwkgRG6zmlnEYBERERFVzuM9i/Lz8wEAcXFxNpfZvXs3evfurZiXkpKC3bt3AxAzg9LT0xXLxMTEoGvXrqZlOnTogJ07d6K0tBSbNm1CUlIS4uPjsWrVKqjVajz88MOefmr+raJImr6WChRUXmroVYIeODwT2HafWFoGAJHXAffuBq4bZrm8IrOotgWLZEEcR4JFgSFAYLg4zcwicsfJ+cDF/wFH3wZy/vb22viM3JwKi3mlGjYcpipQwTI0IiIico1HR0PT6/WYMGECunfvjhtuuMHmcunp6UhISFDMS0hIQHp6uul64zxbyzzzzDM4dOgQ2rZti/j4eKxduxbXrl3DtGnTsH37dkydOhVr1qxB8+bNsXTpUjRs2NBiPbRaLbRa6YC2oIA7UDaZN8Q8/zVw4zTvrEtlyq4Bu4YAV36S5jV4ALhtpbLESi6qFRAQKgY4alsZmvxgwZFgESC+TqUl7jW4ZmYRFUp95pCXCsTf4rVV8SW5uZZZVhor1UJEbrOWWcQyNCIiInKARzOLxowZgyNHjmDNmqovUwoODsb8+fORlpaGv//+G7fffjtefvlljBs3DgcPHsSGDRvwzz//4NZbb8W4ceOs3sesWbMQExNj+mvcuHGVr3eNZREs+so3y0pyDwK/dJECRaoAoMPbQM/vbAeKACAgCIg1BDgLT9Wu0WJ0LgaLAGYWkXtKLkrT+ce8tx4+Jvea5U9vqYaDk1IVYINr12mya9e+ABERkZM8tnc6duxY/Pjjj9i2bRsaNWpkd9nExERkZGQo5mVkZCAxMdF0vXGerWXMbdu2DUePHsXYsWOxfft23H///YiIiMDAgQOxfft2q7eZPHky8vPzTX8XL160uhxBWYYGAAXHgbzD3lkXW84sBTZ3A4rTxMuh8cCdm4B2U8SgUWVMpWiC555beSFQUeKZ+3KVIliktr2cnDFYpNNYb5BqThCYWUSWFMGif723Hr5E0CM3L8RitkbLYBFVAWvbb/YsqlzufmBDQ2BDE6mUnYiIyM+4vXcqCALGjh2L9evX47fffkNycnKlt+nWrRu2bt2qmLdlyxZ069YNAJCcnIzExETFMgUFBdi7d69pGTmNRoMxY8bgs88+Q2BgIHQ6HcrLywEA5eXl0Ol0VtcjNDQU0dHRij+ywdrZNV9pdK3TAHufA/aOkLJZ6t4C3HcASOxt/7ZysbIm157oW1R4BljfQPwruez+/bnKpcyiWGm6LK/y5a1lEXkrs6joHPD3GODKL955fBLpK8QG10YFzCwCAGhzkVtkmeVYqgn0wspQrccyNNdc+kEcGKIsF0jfWvnyREREtZDbwaIxY8bgyy+/xOrVqxEVFYX09HSkp6ejtFTaQRk6dCgmT55sujx+/Hhs3LgRs2fPxvHjxzF9+nTs27cPY8eOBQCoVCpMmDABb731Fr7//nscPnwYQ4cORYMGDdC/f3+LdZg5cybuv/9+dOrUCQDQvXt3fPvttzh06BDmzZuH7t27u/s0yRgsCoqSsnTOr/GNUrQ9I4Azn0uXW44Gev8BRDhZVihvcu2JEdEu/yBmZJXnA5d/dP/+XOVOGRrgWCmatbPXgk4cia26/fUccGoB8OcTzG7yJk26+BkwKrnIjAYA0GQgt9hyAAiNlsEiqgIsQ3NNWa40rcn03noQERF5kdsNrj/99FMAQK9evRTzly1bhmHDhgEALly4gIAAKS512223YfXq1Zg6dSqmTJmCli1bYsOGDYqm2K+88gqKi4sxcuRI5OXl4fbbb8fGjRuhVivLaI4cOYK1a9ciNTXVNG/AgAHYvn07evTogdatW2P16tXuPk0ylqGFNwDCmwDpW8Ryr5y/vdu0VqcFzhve38Aw4JbPgOQhrt1XbHtp2hNNrrXZ0rQ8w6K6yQ8WgqoqWGRj3G+9FggId+wxPaH4PJD+qzhdXgBoMoCIJtX3+CQptlLWW3AcqHtz9a+LL9FmIrfIMlhUqvXoeBNEIqvBIgZtKyUPFmkZLCIiIv/k9t6p4EBmibWeQY899hgee+wxm7dRqVR488038eabb9q97xtuuAGnTp1SzAsICMCCBQuwYMGCSteNHCAIUmZRYATQ9AkxWASI2UXeDBaVXpGmG/R1PVAEACExQEQzoPgckHcIEPSO9TqyRR4s0ngxWOTqaGhG7gaLUI3BonOrlJcZLPKe0kuW8/KPMVikyURuUVOL2aWaYC+sDNV6zCxyjZaZRUREROyoSZXTlwFChTgdHAk0fhgIMBzYXPhaDKp4i7wXUHhD9+/PWIpWUSz2HHKHL2YWuRQsynPgMWw0wa7OMjBBANJWKudpMqwvS1XPamYRm1xDk2kqQ4uJKpNmlzFYRFWAPYtcUyZras1gERER+SkGi6hy8ubWgRFiICHpPvFy6RUga6d31gsASmXBojAPBIvkTa7d7VtUk4NFwbHStNuZRdUk52+g4IRyHoNF3lNiI7PI32mkMrS6cRUIDRYDraVayxHSiNzG0dBco2UZGhEREYNFVDl5sCgoQvzf9AlpnjdHRauqzCLA/RHRanKwyBMNroHqzSw694XlPJ4R9p4SK5lF+bUos0gQgHNrgMs/OXUzfWkWrhWL36+6dQWEhYjfEU0Zg0VUBViG5ho2uCYiImKwiBxgbG4NiGVoANDwQSnwcGGdOEy2N3g6s6iOLLPI3SbXip5F6d4ZGQxQBnK80rOoGujKgPNfWc5nZpH3yINFMe3E/8VnbQcWa5rLPwC7BgG/PwDk7nf4Zvk5hdAL4shncXGBUIeIpWilZWp7NyNyTQXL0Jwm6JW/e/wdISIiP8VgEVXOvAwNEINGDR8Qp7XZQMZv1b9egOcziyKaAcHR4rQ7ZWiCoAwWCTrl5erk7mho5XkOPIaXM4uu/gJoDT0m4m6S5nMn33uMZWjqBCljT9ADBSe9tkoelbNXms7ea3s5M7lZUp+iuPhghIWKlzXlod7t/0a1k3z7H1pX/M/MIvvK8wHIBm8pL6g9QW4i8k+nFwHfNQNOf+7tNaEahsEiqpy1MjTAN0rRPJ1ZpFJJfYtKLir7FjijPF8MEMl5a0Q0l8rQYqVppzOLVNJkdWUWpclK0K6fJE2zfMA79BXS5z28MRDTVrquoJb0LZL3ZLJWcmdDbo6UhRlXNxBhoeUAgNKysOot2yT/YNw2qwKAEGOwiJlFdln73ddkVf96EBF5ytF3gOLzwBH7o4wTmWOwiConL0MLipSmk/oAQVHi9MVvvXOgY8wsCqnjeNZMZep4oMm1tSwib/Utqu6eRcbMLKB6PhPaXLEkCBCzWBo/AgQaSnqYWeQdpVekLJnwRkD09dJ1taXJtTxYVHzB4ZvlygZZiosD1CFisEhTrrZdzknkKuO2OTAMCDb8XlcUitmvZF2ZlWARm1wTUU1mDILL98+IHMBgkT8rPA1suQPY96L9HUdbmUVBYUCj/uJ0eT5wdVOVrKZNgiBu9ADPZBUZeaLJtS8Fi+Q9KwId7IsSGAYEGBruOptZFBwjTVdHZtGFtYDeUNrT7CkgIEgMGgEMFnmLPJBikVlUS5pcu5JZVFGK3ALpOxgXB4SpxUyjCl0wKrQMFpGHGbfNgWFSIF/QA7oS762Tr7OaWcRgERHVUIIgnfgXdFLbBiIHMFjkz04uALJ2ACfn2R+lyFawCPBuKZo2RwpGeKJfkVGsB5pc+1KwyJXMIpVKyi4qy6t8eXlASl7CVh2ZRfIStOQh4v/Q+uJ/bY73mq/7M3nwJLwRENkcCAgWL9eGzCJBMAsWOZhZpM1CblGc6aKYWSSVq2qK2ReFPMwULFJLmcAAS9HssZZZxGAREdVUulIo+rBp0r22KlTzMFjkz0plBzv2UqxtlaEBQGJvIMRw8HP5e6CiGs9WerpfkVFMO7G/A+C/ZWiAFPRxJLNILy9Dq8bMosLTQPYucTr2RinQZ8wsguC9xuL+TBEsaixme0W1FC8Xnqj5AbzyPGVmRsklx0Y71GQgt1gZLApTS7crLWbPIvIwa5lFAJtc22M1WMQsVSKqocxPDnB7Rk5gsMifyRs22jvLaC+zKDAEaPyotNyVnzy3fpXx9EhoRkFhQHQbcTr/X3FYdmdZS/E0lsxVN1eDRcGGzKKKwsoP7r2VWaTIKhoqZkQBQFiCNJ8/itXPvAwNAKINpWj6cqDobPWvkyfJnx8gpnU7cqZOk2mZWaSWegdoSso9tYZEIkWwSJZZVMHMIptYhkZEtYn8pD8AlDKziBzHYJE/k2dc2DvLaC9YBABNH5emq7MUTR588WRmESBlqOjLgILjzt++VmQWyZtc59lf1huZRYIgBYtUAUDTJ6Xr1PJgEXfyq515GRoAxMibXNfwvkXFVnoUOdLkWpNpJbNIChaVFrsQmCayRRCUDa5ZhuYYlqERUW1iHixiGRo5gcEifyYPaNg7y2ivDA0A6veSDs4v/1R96e2KMrQGnr1veZNrV0rRrAWLND4QLHJmxDh5sKg8z/6y3sgsyvoTKE4TpxN6A+Gyz4CxZxHAzCJvMGXeqKSsv2h5k+sa3reo9JLlPEeaXGutZRZJfQQ0DBaRJ8mD9SxDc5y1zGCOhkZENRUzi8gNDBb5K0HwXGZRQCDQ5DFxWq8FLn3nmXWsTFWVoQHuN7mWv7bGnk6lV70zXHGFmz2LgMr7Fikyi2S3q8rMorSV0nTyUOV1apaheZUxcBKWKDW2VmQW1fBgkXkZGuBYk2tNJnKK6pouiplF0jahtKSG93Ii36LIKlUry9CYWWQbM4uIqDYpN88s4n4xOY7BIn9Vng8IsgMTuz2L5JlFVoJFgHdGRauqBteAMrPompuZRbE3iv/1ZY41i/Y04wFDQIjUuNsRijK0StZbkVlUDWVoOg1wYa04HRQBNO6vvJ49i7xHVyadtQprJM2PaiV9/gpqeBmatWCRtdI0c7KeRdHROgQFAWq1ynQ1g0XkUeYnCuSZRRXMLLJJHixSG7JUGSwiopqKZWjkBgaL/JV5mZTDDa6tlKEBQHw3qZHt1c3W07g9zZhZFBAMqOt59r7DEoDQeHG68ITztze+vkFRQEQzab43+hbJG5w6w5lgkSGz6PiV1hj7Th/8cayH4bGrKFh0+Qcx4AkAjQdYBjEVZWjcya9WmqswDdEa0ViaHxQGRCSL0wXHAUFvcdMaw+XMImk0tDjD1ytM9rXUlDgwohqRo8z71bFnkWOMwaLgaKnEXZvpncxgIiJ3sQyN3MBgkb+Sj4QG2D/LWFkZGmBoMGxodC1UABe/dW/9HGHMLFInOZcx4yhjkKf0ijiCkzOMwaLQeCAsSZrvjb5F8ganznCmwbXhDPbEL/+L+V+2w5PzV4vzqyqz6KydEjSAZWjeJM+wCW+svC7aUIpWUexYjx9fZQwWBaoBVaBhXuXPRyiVMovi6orbLHWYtO0qLWWwiDzIvF8dy9AcYxwNLSROOvGgL6+8dx8RkS+yyCzifjE5jsEif+VUZpG8DC3c9nLVWYqm00rPwdP9iowimor/Bb2yP1Jl9DrpzKR5sKhGZRbFStOVZRYZHuNUeksAwOVrjVBWEVw1mUWaTODqL+J0eCMgoZflMqFx0kE8fxSrl7WR0IxiZE2ua3LfImOwKLyxVALrwGhohXkl0OmDAABxcWL5WViYVIamKfVgtpW8BMkfnPsKODqLQRA5nayXHBtcO0YQpN/vkDipDA3w7SxVvQ449l/g+EfMgCL/IN++kX3mwSJttvMnwclvMVjkr1wpQwsMt5/BU6czENlCnM7YVrWBkdIrpklB3RAVVdHqI7yJNF183vHbledJJTYWwaIrVm9SpYzBImdGQgNcKkOTDwteWBpVNZlF59cAgiEDo9lg659JVQB7TXiLvETLPLNI3uS6po6IVl4gjR4Z3kgqtdNm2Q/QCHrk5kjBoDjDVyUsXJ5Z5KFg0aE3gLXhwL7xnrk/X5d/DNj1JPDPFOD3fjyIMDJvcC0vQ7M3Aqo/qyiUfl9C69acYNGVn4CDLwMHJgDnVnt7bYiq1q7BwLoYZZY52Wbe4BqCZYUJkQ0MFvkrrdlGwpHR0GyVoBmpVLLsIgG48D+XV69Sskyf5+e+hOBg4IMPPPwYxswiwLlgkTwQFxovlskZeTOzKEDt3O2cbHCt16twrVi6TZEmsmoyixSjoA2xvZyxfIC9JqpXib0yNHlmUQ1tci0PhoU1UgaVrfUyMirLQ26hlNlhDBapw4JM8zSlHvqcnlog/j/5CVB4xjP36cvkgxBk/g78OQjQs1m4Rc8iZhZVTitrbh0SZ1bS7MPBorxD0nTaCu+tB1FVKy8Ezq0SB405u9Tba1MzmGcWAcy6J4cxWOSvzDOL7J1lNG5kbDW3lquuUjRDvyKdPgBLvr8VAPDaa8Bff3nwMTwVLPJmGZq+XDpL6k5mUWW9GvQa5JfGQBCkTUqhpgoyi/L/BXL3i9NxXZRlTeaMO/n6ctvBLm0ucHwOkHvQs+vpzxSZReZlaG2k6ZqaWWT+/OQBMXtNrjWZisw7U2ZRRKBpXqknKse0ubJtkACcnO+BO/VxpWZlwpc2AH+NZJDYIljEnkWVko+EFmpWhqb14WCRPEifsRUo5YEg1VLyHpreGGG4EoLggz89VoNFbHJNjmGwyF9ZZBY5UIZWWWYRAMS2A2JuEKezdzkXZHGGIbOooDQaOp34MdbrgWeeAbSeik/Ig0UlLgaL1F4OFpkfLDgjOFaadiCzyNi416hQE+X5zKK0L6Rpa42t5Rw5I/zPFODARGBbijjkO7nPeNCiClB+9gExs8EYQMr/1wf3qBxgHiyKkGcW2Wlyrc1UfEekzKJg0zyNJ6qnCk8pL59dYiUFvZaxltF1dhmQ+mr1r4svqTDb/stP+LAMzboys8wi+ciavhyAkQ8sIOiBC2u9ty5EVck4Eq75tA84fx5o0QK45RagpMTbayNjLVjEEdHIQQwW+SuNec8iGynpgh7QGbZ4jgSLALPsoiraYTGcSZaXPQHA0aPA22976DFczizKkaZD48Wm4MEx4uXqDhaZHyw4IzhK6gfkQM8ii2CRp3sW6XXAuS/FaVWQ8nNmjaLXhI2d/Kyd4n9tlndGqquNjAETdSIQEGx5vXFEtLJrvl3WYYu9zCJ7Ta41GVaDRWERUhlaqUZlfivnFZ5UXi4vUJZu1kbyzKKO7wMwvI7HPgD+fd8rq+QT9GYNrgOCxN6DAMvQbLEoQ6shmUWlZgFT9i2i2koeICrzrWDRV18BZ88C+/YBv/7q7bWRsXbCiJlF5CAGi/yVtTI0a2f5K2ShcUfK0ACg6ePSdFWVohkyi/KKYy2umjULSE31wGOE1JGes6tlaCF1xf/GDIvqDki4k1mkCpCyixzILDIP3Hk8syhzu3Sg3qCPcifeGkVmkZVgkaAHimT9XNjsz326Mum1Nu9XZBQtb3JdA/sWuZpZZKMMTZlZ5Ilg0SnLeSc/kZru10by96T1OODmT6XLqa8CZ/y0r4V5g2tAKkVjGZp19srQfDm4XWy27cnZAxSd9c66EFWlMrPMIk/+thWfB86ucDkIlSHb1czL88wqeQR7FpEbGCzyV+ZlaILO+ggyxhI0wPHMoqgWQNxN4vS1A0DBSfvLu8JKZpHx4KuiAhg+HCh3d1RIlUrKLiq+4HjJjHnPIkAKFlUUV8lO+rFjYgle06bAvHmyK9wJFgFS3yJ5jbg1ulLFgTBgaHDtycwiRQmancbWRpUFi0ouKT/z5t8Jcp48w8NWsEjeZyq/BvYtcjmzKBM5hXVNF6XMohDTvFKNB36S5dtb4/ar4DiQ7kunOT3MOOBBaD0gMBRoOQpo/5Z0/V/PARc3VP165B0GLn7rO4E5a5mlxibXzCyyTp4ZbJ5Z5KvBovIi630Fq7JvJJG3KErPBOuBEFcIAvDbvcCeYcD+cS7dRbZs97/Ql+LxLEMjNzBY5K/MM4sA6zuPOheCRYBZKdrXjt/OUcbMojKpge5LLwE3GNolpaYC73ui+sA40pFe6/iOorVgkWJEtCseWDHRnj1A//5A27bAsmXAhQvAG2/IFnA7WBQr/i/Ps30AJAiAXlu1PYsqioGLhtH1gmOAhv0qv01lPYvMMzCsfSfIOYqR0BpZXyZGnllUA4NFxnKPgBDx+x0SJ5X2OJFZVNcQN1JHhEqLeCJYZCxDUwUAHWZJ80984v59+yJBL21T5Z+5dlOA1hOkZf58AsjYXnXroc0FNt0C7HgU+PfdqnscZ1jb/gcZMotsZRP7O/OeRYFqKcDmq2Vo8gB2vdul6XNfVf+6EFU18z5FnipFK06Tfj9z9rp0FzmyWHORL7UKNAaL5K0BWIZGDmKwyB/py603hbPW8FJe5+poGRoANBkoTV/w8NktQTAdHFwra2aanZAgBkwCDJ/qN98Uexi5xZW+RfYyiwCP9C367TegZ0+gWzfgu++U1+XmAgXGuJ+nMosEve2MKEN2TpX2LLq4Xspya/q4VFJhT2U9i8yDRSxDc58i68ZWGZo8s6gGl6GFNRQDMioVEGF4riV2MhBtNLgOkwWLSrWB5rdyjiBIn+uIZKDJY9L7cOUnoPC0e/fvizSZgFAhToc1lOarVEDn2UCzweJlvRb4/UEg90DVrEfBcSlT8fhc65m61U2+/TeOhmksQ7OVTezvZMGiPw82xOHDkJpc+2pmkTxIXe92IP42cTr/iJjtRuSK/GPA5tuA/RO9vSZK5ie2PdXk+lqqNO3ifro8s8gng0Wh9aRjOZahkYMYLPJHtjIorAUDXClDA8SDp3rdxen8f4G8I47ftjLaHFMQQp5ZFBsL3HQTMGmSeLmsTCzN0unceCxXRkRTBIuMR4SeCxb99Rdw993AH39I8xo2BK6XJWxcNO47WjtYcEaIrA+Rrb5Fhiaq5mVohRoPBovkJWjNHChBAyovQ7PILGKwyB1ZWcDmLYHQ6Q0/KxE2gkXqeCmIWtMyiyqKpe+BPIvFmIEov96cWWZRHcNXSx0u61mkDTK/lXM06dJOYVRLsaFxqzGGKwXg5Hz37t8XKQKUDZXXqQKAW5cCDfqKlysKgW33VU1ptPwARpvlG1kdOrMG14CUJQOwFM0aQ4Prnw7ej9vvS8ZNNwGplw37MmXXfHPUTPPS2KaDpMtsdE2uOvExkL0bODEHKLDSC89bLDKL8jxzv7kHZY9RoOzZ6iCfLUMznvgPihQHHwFYhkYOY7DIH9kMFlnZcZTXuToTLAKAJvJSNA9mF8n6olzTSEEY48HX9OlA69bi9F9/AXPmuPFY7mQWBcdKKZ8eDBYdlP2etWwJLF0qjr7w6KPS/AvG1inujIYGKINF1noiyB7DPLOoSBPpmTK0kstAhqHfSkSyFISsjLqeNG3tjLD5ASODRS7T68Ust5SRj+OFZQvEmWE2ytAAqW9R6VXP7ehVhxIbPZkcaXItGw0tIgIINSQUhYVLTa1L3Q0WyT/TUa3E/82flTLxzi6tfY2NFX2yrHzmAoKB29dK5TnaLOC3e5TvpSeY/36e+Mj7ZV7WGlwby9AA69nE/s6QWbT3TFfxYhkwe/0w6Xpf/J1QlP82FjMKVYYsxfNfef9zSDWTfNta6uHtpTvMy848lll0UHnZhX11nyxDEwRpWx8UCYQZgkXlecwuJYcwWOSPFMEi2eg71nYcFZlFTpShAUCTAdLQ6+fXeG6HRbaTf61ECgjExor/1WoxgKIyPLXXXwdOunoi2Z1gkTF7AlAGi9wcES1f9rs4a5bYzDskBGgiO16VgkWy98+VYJFxNDTAe5lF51ZL/ZKSh0pvbGUCgsWeE4D1zKIilqF5SkYGcMYwsNyi30Zh39kutjOLAOWIaDWpybX5GXzTtANNrmWZRXGyr4paVlGp0QbDLfJsuWhDsCi0rlSKVV4ApK107zF8jfw9CWtofZmgcKDnD0Bse8NtLgDb7lUOk+4u82BR3j9A5h/Wl60u1sqQmVlknyFYVKCRmtF/ve12pOcZMlV9sRTNvPw3LAFI7C1eLj4vZocQOUve7N2XejqaB4eqKljkZE+fsjJZCwj4ULBIrxXLjgEgOLLyfp5EZhgs8kfyg2J52r4ny9AAMXpd/05xuugMkLvfudvbIjvDkVdqWdYBALfdBowfL05rNMCIEWL2g9OcDRbpK6SgiiJY1ECadjOzSP5jFC3b77caLErfJM2UZz84ypEyNENmkXxkOsDQs8jdzCJBUB7cJg927vbGH0XzYJG+wnJYYV/aGaph5GfTAGDiqjkQQpOsLwwog0UFNahvkc1gUSWZRTothLJ8U2aRrWBRqTYEbimUZxa1lKZbvShNn/zEd0br8oSSSjKLjEJigTs3ApHXiZfz/wW291X+xrnDWuDlxEeeuW9XWQ0WyTKLaluWmScYAoj5WulEVHlFED7bOkq84IsHV9YGFmApGrlLvk/kS/tHVREs0mRaDj7j5L66+X6QzwSLzHvPGsvQAJaikUMYLPJH8o1+RLI0bacMLT0vAUNe7YNZsywXsatpFZSiyTbo14piTNN1lLEKvPUWcJ3huGDnTmDBAhceKyxJKiWzNyy2kXwkFVuZRW4Gi+SZRTHS01cEiy5ehHggcH6tOCM4BmjwgPMP5kzPImujobmbWZT3j9ikExCbdka1cO72xmCRrkR5UFhyQWz0LueL5QU1hPlO0o7jPbD+OzvNmmPkTa5rUGZRqY1gkTyLqsTKdkKbhRJtOMoqxNozebBIpQLUIeJ3qLTM3WCRLLPIWIYGAHXaA/V7idMFJ4CMbe49ji+x17PIXFgScOdmabuQs0ccvcwTfWis/X5e/g4oSnP/vl1lbzQ0gGVo5gTBamYRAHy6dTTKKoJ9c0Q0Y7AoUC3tdzR+GAgw1LpeWCueICFyRk0JFnmilF3e3NrIzWCRz/QsqjALFoXJgkUcEY0cwGCRP5Jv9I1nWQG7ZWgLfn0BX37XAlOmiIEXhzV+BFAZ+nBc+NozZ7RlZ5LzisJN0/LACSD2BVmyRLr82mtAmrP77aoAqcTEkcwi+WurlgWLgqKk4bXNz144yVawqLHsePXCBYg7iDpDg76mgzzQ4DrP+jLGnkXWytDczSw6K88qGur87W01ubbWrJFlaC7LtVLNM2kSoLX19sfIM4tqULDIkcyiYiuZRWbNreOUXxWog8VghcbtYJEhsygg1HI0Ovn3J++Qe4/jSyrrWWQuqjlw5yYxgA4AVzcBe552/7dJHixqcL/4X9ADJ+e5d7/uYINr5+hKAL34XSzQxCquyshPxLq9j/nmCEKmERobSWXawdFAw37itDYLSN/qnXUj1xSeAXYNAc4s887jy7PkAWVJmrdVxWho5iVogNPBomyzeJrPZBaZB4sqG/zFV+TuB/58Crjyi7fXxO8xWOSP5BkU8mCRnTK0MxnNTbM2bHDisULjgKQUcbrkEpC1y4kb2yBvcF0g1nBERwOBVhIZevUCRo8Wp4uLgWefdaF1kvFAsDyv8p1rxUhosmCRSiVlF1VRGVpkpJRddeECgDNLpSubP+PagzmSWaQrhSDYaHCt17req0pfAZw3pM8HhABNBzp/H+r60nSp7EfRfCQ0QHx/zbONyCHyM2rBgeLB1tmzwCef2LhBWEMpwyG/BpWhFVsp9zCftpZZpMlUfD/Mg0VhoWJUrbRM7cb3RQcUnhano5oDAWYbRPl3odxX9mI9wHigHBSpDITYU6eD2MPI2PT5/Bpg3zj3+upVyDbM1/+flNVxZon3Xm9rDa5ZhmabrIdVfkmMxdUfbxrne2Vo5YXSwbJ5sLSZrBTtvA+MzkeOOzITOPclsPcZ7/xGll0DINse+lJmkXmDa/PLrsi1Eixysr+oz5ahWQSLakgZ2oGJ4jHA7iG1q3S+BmKwyB/ZyiyyV4aWL21cfvjBycfzdCmaMbMoIBh5+eIBkbG5tTXvvSeVaP32G/D5504+njN9i+SvbYgyjd0ULCrPV45S5iRbmUWA9DwvXRKgy9xjWOgGIO4m1x4sJFaathks0ihKbIwKNYaDElcDMOlbpLMeDfspA1eOsnUGRR4skt+vL+0Q1SDyzKJX+70HlUr8YZ85E8iylrClUknZRcXnPdc3pqoZy9BUQUCoLPgSFC4Fh631LJKNhAZYySwKEb8jmnK166OTlFw0ZUUoStBM6ygboKC2lB8JgunkQUlAC+TlOXHb+j2A29dJo0admg8cnuH6ush/PyObA82eMszPB9JWuH6/7jD9zqjEgDvAzCJ7ZGXkBaXi9yU6Guh4o/g6/nWmK/bud3Kgj6pm3txarsH90vt98Vu39jtqvIJTwF+jgSubKl/WF8gDRKc+rf7HN88k8qV9I4ueRXnu36cxs0glOyx2MpBSIzKLgqOqrwytohioKHH99sbvgDYHKD7nkVUi1zBY5I8UwSJZzyI7ZWgZ+dJB98mTwIkTTjxeowels5oX17lfO284OBBCk3Dtmphybd6vSC4qCli0SLr88suGnj6OcipYJPuBlWcWAR4bEc0YLAoMBMLMKsuMwaLycpX0njUf4fgIYuYczCwyL0EDDA2uAdf7FqW5WYIGKINF8l4T8kbA8d2kaZaiuUR+Ru2utr9h+MPij3xBATB9uo0bmZpcC2IfnZrAVO7RwDJzx3igVnJJzPKRy9pptwwtLFQMFpWWhZl6gDlN0dzaSrCoNmaUlOcDFcUoLI1E6xc2oX59YKsz1TYNHwBulZV5HJkBnHSluR2UgZfgaKD1eOnyiY+9c2bUmFkUGCb9BrBnkW2yYFF+sVg2HhMDjBsr7bN8vKZHta+WXdaaWxsFqsVWAID4Xl/5qfrWy9ccmAicXgjsetJy++yLSmT7mmdXVP822zw45CvBIkGw0rPIzcyi8iLpBGKdTlKfUjfL0HymZ5FFg2v5SdQqChaVZgDfNQW+qedaZlxFqfIzl3fUc+tGTmOwyB8ZD4gDgpVDDVv7MdKJwaL0vETFbKeyi4KjgQZ9DY+dCWRud+LG5uujNW1ANEHJKDOcSLeXWQQAKSnAM4ZKrMJCYNQoJyoOXM0sMg8WqT3T5NpYhhYTYxkDUoyIlt1EfI+NZ7hd4UjPIp3GogQNkGUWudK3qCwfuLRBnA6tCyTd5/x9AJWXoQVFArE3SvN9ZYeohpFnFtWNysFbr51DhGHwxM8+A/61tq9Q05pc6zTS58NabxzjaIOCThkM1pcDl9Yjp0jKNKxrlnSoDhUPRjXlatfP/hfYGAnNSBEk8JVTnm4yZJnuPHE7LmXVR3m5eDLAqWqy5CFA5znS5X8mu7bNkgeLgqKUTcULT4q9kaqbMVgk71enCBoys0hBdrKnoFg8wRUTAzwxOAJ1I8Xv/trtPXDFvbaDniUPFkU0try+6ZPStL+WogkCkLNbnC7L9dxQ61WlohTQZKJEGyZuyyoKxZK06uSrwSJdiTQMvJG772feIZhK7up0lsq0PFCG5k5ls8d4o2dR+q/i9lRXIgY7nSXPmASkgW7IKxgs8kfGjX5ofOUp6eVFKK8IQk6RMvDhtVI0+UhoFdLZc3uZRUazZwNJhnjNL78AX3zh4GOaBYsqKgC9rZPE9oJF4Q2kaTeCRcbMopgYy18hRbAopwnQ8EFAXc9iOYcFy+rc7GQWXSu2fAPKKkLF0WNcySy6+I1UjtN0EBDoYuNfaz+K+nIppTWqJRAqe304IppL5DtJcRG5SEquh9deEy/rdMD//Z+VG5kyiwAU1IC+RZUN0S4vAZH3NsrYBmhzKulZJAaLKnTBqNC6GCySl1ZGW8ssqoVlaIYdyswCKSj8zz8u/D61mQAk3itOlxe41szV+PsZFCFlnSmyiz5y/j7dJc8sMlL85teSz4GnGDKLKnSBKCkVf3Oio4Gw8ACMvHe14bogfPaZ19bQkr0yNABIuFP6Hbz8k2f6u9Q0mnTld9rXg6QlF/C/vY+izshruGfWFuj0AcDJ+dUbefDVYJG1z6+7wSJ5c+u4TrJgUZZTlRDmmUWCAJT6QuWnogwtEggMlU4EV1XPInkPv+w/nb+9eTl/PjOLvInBIn8jCNIBcWg95VlGG2Vo8h1xo507LaPodjW4X+qZceEb14cqlh2wXSuX+i1VlllkXGbhQuny+PHAVUdiNrJg0bnTJWjUCGje3Mbzr5bMInGHIVr412IIbHmw6GJOY+A6FxtbGwUESRkJ5bZ7FlkrQwNkTa6d5YkSNMB6GVpRmnRmyjxYxDI0l5hnFiG8MV5+WRqh75dfgNRUsxvVtMwiWyOhmebJvnzyJtcX1gKA/Z5FodKZUk2xi2WblZWhyTOLakuQwFCSbP4bNXOmKwMZyIL5rvTAMB6AyoMxDfsBEYZS76ubgPzjzt+vO4wB9wC1NK+y3/yqUlECHPsvcPnH6ntMZxkaXBeUSu+hcRCJ0Q/+iMAA8cBx4ULB9kiP1c1eGRog/oY3MQwOodcCl9ZXz3r5krzDysu+nllUdA4rdjyNsopQbD3aG/vO3iQeLGftqL51KDPbwa0ocr2fnidZe+9sZb07Sh4siu0oaxkhONXQ3jxYBPhI3yLzzCJA2jeuqjI0eUA2Z5/z2boMFvkUBov8TUWR1AQ1NF4sUzL2E7JRhibvV2Sk14sHgA4LCgcaPWR4nDwgfbNTq20iGwktr0w6i+ZIZhEAPPgg8KQhKzsvD3jhBQcOKmRn6776uR0yMoBz54Bvv7WyrL1gUZj7wSKNBigrE2vPYtTZwLY+wKXvTNc3ri/9wF/Ivx5Iutelx1EwnoGw17PIShkaYOhb5OyPRNE5IPN3cTq6tevNuQFlGZoxs0iegRHVUvk+MbPIJcbAaVhIiZglo05AWBgwaZK0zJYtZjeKaCaNGFVQC4JFEfJgkWFHR18uNpYFkFsifRYtMovUUrCo1N1gkXmauVFQOABD3WqtKUMT35OsAmX25L59wCZnq76CY6VpVw4+rAWLAgKBVmOlyyc/dv5+3WG1DM1LDa5PfQocfBn4o78YsPdFZZbBIuMgEo0bC3jkZvG7nJmpwtq11b521ilGaLSSWQQAzWSlaOdWV+36+CKLYJGvZxadx9U8aX9x82HDftzJ+dW3DtYyiVzJuPQ0qxUQbgb/TCOhqcTyYRf7i1o7gewTfYvMexYBUvZURXHVjNYpf5/0WiD3gHO3twgWHasZvcZqKbeDRX/88Qf69euHBg0aQKVSYYMD46pv374dnTt3RmhoKFq0aIHly5dbLDN//nw0a9YMarUaXbt2xV9//aW4fuLEiYiLi0Pjxo2xatUqxXXr1q1Dv3793HlatZe1YIYpc8R6GZp8JLQ775Su+v57Jx/bE6Vo8swijdRvyZHMIqOPPwbqG47bNmxA5Tt9gaGmH4/TF6UHOnnSyrKm11dlOXqXIljkWtMDxUho4fniRnjHo8BZMROnCf5nuv5CSTfxrKK7TMGiPOuRNbOeRfIR2go1Uc5nFp2TfZ+Th7renBsQD5CNP462gkVqlqG5y7iTFBeRq2j+fM890jLbtpndKCAQiG4jTheecj3bsLqUVpZZJC9DM2QWpW81BVlzdVImlUVmkVqqa9WUuPA66MpkpZWtrH9nVAFiiRRQ6zOLABeyi+QjPzp78CEIsjK0aOV1zZ+RXvezK2wH3T1NEBRlaKbXwlsZZjl/G9ZLB+Tuq77HdYYhWJRfIv2IGTOLEFof41KkYJ/PlKIZt0uBaiDE+kkb1O0qZbhlbPXt4bKrQk3LLCo+r+gTuvmIoefnxW/dykp3itVgkQ+Uoll77yqKXA8k6MulfjjRrcVttYsndmtUZpFiRLQq6FtkfjyZvcu525v3LNJrgaIz7q0TucztYFFxcTE6dOiA+fMdi3inpaWhb9++uPPOO5GamooJEybg2WefxSbZacCvv/4aEydOxBtvvIEDBw6gQ4cOSElJQWammA74ww8/YPXq1di8eTPef/99PPvss8g2fEvz8/Pxn//8x+H18TvyMhtj+Y0xLd1aSrpZZtEjj0hZPBs3wtRg2iGJ90pnby9959qQivLMIq20Xo5mFgFic1n5x2PsWBvDe8sZSkzOXJF+RKyOCGfqBxVnOVqSBzKLCmTb3+gwwwVBB+x5GjjxCZIK55lS5S/kNnfpMSwYg0X6MungQ85sNLSmshZPhRonM4sEQVmC1mywkytrhSnd1pBOrCjXMe9Z5AM7QzWMIAC5ueKRqFiCJgVSWreW+oT98QdQXm524xhD3yJBBxSdroa1dYN85yXMwcyiC1IkOrdMGnnSMrNIimqUFpu/SA4oOiuNtmWtubWRvW19TWTMLCqUvsPG0sddu6wEKO1xJ7OoogimBqnBZsGikFggeZg4rSsBzixx7r5dJQvS7znRBU2aAE88AQiqIFk2cTVmWMgHhyj00e+6nTI0qOuje6s/cX0Dsb/arl1ApuMVKlXHmFkU3tj2iRWVCmg2SJwW9MCFddWzbr4i7zCuFcdi4a+jcPJqS5/v26QvvICMAmn/dvepm1FQEgUIFcDpRXZu6UGaGhQsApQ9cpyRf0yqtqjTSfyvlgVSnNhXt5ZZ5HPBImPvwqoeEc38RESWk32LzDOLAO80uS7LA04vrjkj9lYRt4NFffr0wVtvvYWHH37YoeUXLlyI5ORkzJ49G9dffz3Gjh2LAQMGYM4caTSS//73v3juuecwfPhwtG3bFgsXLkR4eDiWLl0KADh27Bh69eqFm266CYMGDUJ0dDTS0sS05ldeeQWjR49GE3nzFpJYyywy7txaO8tYUaw4w9GwIdDXcJKjsFA8AHRYYIhsGNci4MrPTtzYQJ5ZVCINKeRMsAgABgwAHn1UnM7OBsaNq+QGhr5FZzKkAIz9YFG85XUhcUCAoVGzk6MsGCkyi8Lygbq3SjP2j0NQ8RE0rCO+Rhcuq+ER8jPu1s6Km5Whyb96TvcsyjskBXPq91IegLvK+KNYdk3MwLCXWcSeRU4rKQG0WvEgJS4iV/F6qlRSNmJxsVgepCBvcu3K8KrVqbIyNHUSoDIEiIsviJ+1i4b+IEGRyDWMhqZWA2FhZjeVBYs0pS4Ei+QBUGvNrY1MWaS+sAfrASXGzCLxOx4QALzzjnT1zJlO3FeILCXS2Z5F8qCLebAIAFq/KE2fnOdU01SXyQL7izc+hEuXgK+/Bo4dk61jdQYNS2pAsMhOGRrUCVCpgIe6iGXfggD87MIujEeVF0jvoa0SNKOmflqKptcBBf/ihWULMHrZQtwzawv0Zb5dhpabnosKXbDpsk4XiG3H7hYvnF4kZsNUNfOeRYBvBItsBfpc7Vsk71dUp6P4X3Fi17FASnm5cv/cyCfK0Kz2LPJCZpEzqb7WgkV5XuhblPoq8NdIYFuKX5fBVXvPot27d6N3796KeSkpKdi9WxzWsqysDPv371csExAQgN69e5uW6dChA/bt24dr165h//79KC0tRYsWLbBz504cOHAA4yo98vdj9srQ9GWWWSDlRYozHAkJgLzCr9pL0eSZRSWxpmlnytCM5s+XzvCvWSOWpNkU0RSlZWpcypV2yM6eNcuU0JVJG0hrwSKVStpAu5hZJP8xig4rADrPBm54XbFMk3ixBCY7WzyQd5u8nM5qsEijGA3Nrcwi+QF5Qi/Hbyfzww9iRsv06YYZ8r5F2kwpWBQcI75PQRHSaEEsQ3Oaorl1ZI6yzAXK0tXffjO7cU1qcm38bKoClCncRgGBQJihNLbkojh0rDHo0PBB5F4Tf27Ns4oAZfCotMiVYJE8AGovWGTYUawodGlknfx8YNUqBwcGqA7GMrRC8f2IjwcGDQJaGpKrtm8XB2NwiDuZRZUFi6JbA0l9xOni88BlZ384XSBrRptbKAXCLl+GLGhYTUcyOq3yN89XswiNZWgaKeAtzywCgH6dpaH2nB51z9MU/YqsBLDlYtsBse3F6Zw9YjaiPyg6jcKiIHz7t3ii8kJOU1zL9pXu5NalX7Zcv81nnxMnSq8o+lRWGZ/tWSTbCZZvs10tLVQEiwyZRS70LLI14I/PZRZZK0OrirJU82CRJsO5bY5x2xYgBU290uQ6x9ACp/i86ffBH1V7sCg9PR0JCcrmmwkJCSgoKEBpaSmys7Oh0+msLpOeLn6gU1JSMHjwYNx8880YNmwYVqxYgYiICIwePRoLFy7Ep59+itatW6N79+44etT2h0ur1aKgoEDxV+vJD4bVZmVogOXOo06ZWZSYCKSkAMGG7+8PPzh5zJFwp1T2c+Un53dWjZlFwbG4li8Np+5sZhEgBr4+lvUbff5562cGAAARTZGWmayYVVEBpMn7dMrPxFgLFgHSj5A226UeLfKPaEx4vhjoaP8m0Pm/pvlN4qV+SBetBOedVmmwSFmGJs8sKix1smeRvMzN2OfDCWfPigeLJ08Cb75p+AGXp9sWX5D6yUS1lNL2jZ9JBoucJt9JiovMVW5PANx1lzRtURYkzywqqCGZRepE5Q6MXIQhmKzNUpZTNh1oCqpZCxapZUmAmlIXsk7MSyttMb43gs6lkW2eew4YPFh5wsBrdBpAmw1BALIKxO1tvXpAYCAwZYq0mMPZRYoMyjzn1qWyYBEAtB4vTZ/4yLn7d4VsW1pQGmmaTk+HLJu4oHqG4zZuc418NbPIWIZWLu3zSJlFYrCoa4u9iK9TDADYvBneHRVNMRJaJZlFANB0kDTtat/ImibvMH75pw/KKkJNs3KyfThDQF+OjEzLcsLN//SSLlRHo+ua0LNInnnuamlhZcEiB0/s+nSwyF6Da6BqytCsZa062reovEg60RZ3k7S/5Y0yNHnWlS8ES72kxo6GNn36dJw+fRqHDx/Gww8/jFmzZqF3794IDg7GW2+9hZ07d+LZZ5/F0KG2h92eNWsWYmJiTH+NGzvwY1vT2StDA5RfcF2Z+MOVr8wsiokBevYUL587Bxxx5vsbEAQ0ecxw/xrgkhNnWAVBagwd3hB5edJVrmQWAeLIaA88IE5nZNhJK49oijOZlj2AFKVo8tc2pK7FsgDE5r9GLqR+WjS4NgZU2rwEdP8aSLgLTTp0MC3j+WBRnuX1sgbXwcGCqUcN4EJmkbyPVWCY7eWs0OmAYcPEcidA/LgcOwZlsCh7N0y9ReQZGMbvgjZH6v1CDqkssyg5WQog/vmn2cFVVEupdMuXM4t0ZdL31d4Z/HDZzutFQ7P5oCiUxqag1HDsbj2zSDo4KC1x4UDGvLTSFvl748KIaMZxJvbv99C2xR2G34JibQRKtWK0zThwwVNPAc2aidObN0vrbZc7Da4dCRYl3Ss1dM/8A7iW6txjOKtCFiwqkQLvV69CFjSscH4AAlfIS9AA8b2rKK76x3WWMbNI1g9R3uAaAAID9Oh7m9gwuahIzF7zGkVprCPBIllmt7+UouUdxvp9yjYZ2dnVECB1VcklpOdZNuw/nRaOs8WGMy+Z26u2bFtfIZ0YVMkGSfGFYJE8KCT/vXW2dBgQdxKN2+HwRoDasB8YKnv9HQwWyZtbJ8ZKt/GJYJEisyhc/C/fL66OzCIAyHIwWCQPgkdeB0S1FqcLTlTvQCiCXup1ClgvzfQT1R4sSkxMREaG8iA5IyMD0dHRCAsLQ3x8PAIDA60uk5hoJfUfwPHjx/Hll19i5syZ2L59O+644w7Uq1cPAwcOxIEDB1Boo2h08uTJyM/PN/1d9PrebzVQBIsM2RSK0VFkX3CduDNnHA0tMhKIMOxzys8sO52K7WopmjZH2rENa4hrsiQXVzKLADGx5LnnpMv/2vr9jWiq6FdkpBgRzVogzpybTa4tGlzLs2+aDgTu3orG7dqYZl0wO6HrEkV5hv2eRXFxAqJkHyenexbJM4sCw51azTlzgB07lPMsgkXyJnvyg2pjlp2gq77RimqJyjKLVCopu0ijAfbskV0ZGAJEtRCnC0/4bk245ipMQUa7wSLZAZtgeC6NHsK1Ail1yHqwSPop1pS6EKwsMGyIQuPF5vq2BEsZJq70q5EHBnc5ObiJxxkOlOUjoRmDRcHBwOTJ0qJvveXA/VVlGRogfhFay0rkqzq7SJ5ZVCxtS9PTYfs3v6oUn7ec52tlUBWlptesQCv9fpuXoQFAv1ul3xGvlqKVOFGGBgCRzYD428Tp/KOWo4TVQtrMY/jpYF/FvJwcN0ZYrWrF5xTZ/O3bS1dtuSJLmTy5oOrWQV5uY/x9BnwjWCRvZO1uZlFxmrT9M2YVAeJ+iXEf3sGsG3mwqFn8OdO0T/UsCooQy+iB6hsNLSROOiGY7WCTa/OMydgbxGmhQnlirKppc6T9OMA3Pv9eUu3Bom7dumHr1q2KeVu2bEG3bt0AACEhIejSpYtiGb1ej61bt5qWkRMEAaNGjcJ///tfREZGQqfTodzQSMb4X6ezfgASGhqK6OhoxV+tJy+zMWUW2ShDM5z5M2YWySsD3QoW1esu9fZI32RK/a6UrF8RwpXBIlcziwCgraxtir1g0emMFhazlZlFTpShAVKWlBMsGlxbKdWSl4F5JFjkQM8iYxlaXB0xqGjkdGaRzrXMoqNHgf/8x3K+GCySnSXKkjUwkQeLOCKay+TBImuZRYCyb5FlKZrhC6jTSMO/+xorI6Hl5wMPPwwMHSrrXWatIXuTgcqAmrUyNFmwqNTZYFFFsbRttJdVBJgFCZw75VlWptzx9X6wSHzOWQXSd7ee7Gv89NNAI8Px8w8/AKmpldxfVTa4NkoeKgWlzq1WnrX0NHmwqETalirK0IDq6VtkLVhUnTv9jpAdIBdopMxg8zI0ALi3/a8IMVTBO12K70nOZhYBQDP/anS9bWckCjXK72R2bpCNpX1A8XnTCVpA/H0x2pzaQzqJlray6r678n3Z6Day+T6wbyQPCkXIGmS60rMo10pzayPjvnrpVYe+4PLf+Gb1zpmmfSqzKEi2cx5aD4AhaFolo6EZfhPVCUCsodoh74hjQT3zYFFMO+lydfYtMn9dWIbmuqKiIqSmpiLVsCeWlpaG1NRUXDAcpU6ePFlRCvb888/j7NmzeOWVV3D8+HEsWLAAa9euxUsvvWRaZuLEiVi8eDFWrFiBY8eOYfTo0SguLsbw4cMtHv/zzz9HvXr10M8QvejevTt+++037NmzB3PmzEHbtm0R604kobZRZL8YdohslaGVF0FbHoJrhkCAPLErORm4wRDs3btXLOFymCoAaPq4OK0vBy6td+x2spHQECaVoYWEWI4u5IzkZCDUUM5uM1gUHI0zWa0tZtssQ3MkWOTCiGgWZWiB3g8WlWnKUaQRD0Lj6qoUmUXu9Sxy7E0tKwOGDBH/A2LPIiOLzCJ5sNRWsIgjojnFogwt2H6wyLLJtbxvkY+WolkZCW35crEp/hdfyJrjmx+wBUcDSfcqXyMrFaph4YGm6dJSJ4885f1f7DW3BpTvjZOZRdfMvvp/OjkSrsfZySwCxG36q69KlyvNLgqS/Q5WRWYRIAb3WzwrTuvLgFOfOfc4zpD1pCookjLbFGVoQPWMiGY1WORjfYtkwaJ8Taxp2nQOMSjcdLAVFXAevXqJsy9cAA57K0FHdlBVgkYYPFgMkmrstSNr8ph0pv/8V16MdFWDimKs33GrxeycazZ6zvmC4vOKzKI+faTfjK3bQlDRaIh4oaIQSPuiatZBvi8bkSyVovlCsEgeFFKUobkQLLLWr8hIbdhX15c5lG1uK7PIJ4JFxqCiPFgUECQdp3i6DE3QSwGq4GgxQUC8AsjeY/NmJsW+EiwyO7BlsMh1+/btQ6dOndCpk/hFmzhxIjp16oRp06YBAK5evWoKHAFAcnIyfvrpJ2zZsgUdOnTA7Nmz8fnnnyMlJcW0zOOPP44PP/wQ06ZNQ8eOHZGamoqNGzdaNL3OyMjA22+/jY9lXYpvueUWvPzyy+jbty/Wrl2LZcuWufsUaxfjxj44Ggg0REjslKHJd8TNXn48+KD4XxCAn35ycj1cKUWzkVkUGyv1KXZFYKA4ehYAnD4tBR3MnckUD8TCQ4uRkCDuYDldhqb2YBlapFYcgclMlQaLrJxxVzYaNwsWOd2zyPkytLfeAg4afvPbtgWWLIFpHSyCRXLRLSEIwD//AKWQvS9scu2UysrQAKBxY6CFITFvzx6zUfrkTa6rsg+DO6wEi+RjJxg/fxaZRY36A4GhimCR9cwi6XuscTpYJNsIRVcSLJLvLDp5Vtq8gWdqqtQfrMqUZgAFNjJQjCOh2QgWAcCIEdJJjm++Ub5nFgICZY2f85xbT0eDRQDQaqxUCnBqQdX1YDAE3nX6AJRopG20ZWZRdZShnbOc52vBIlmGc0Gp9PooEs6N2UXaTPeyqz3FGCwKDMf6n+pg1Spg5Upg4UI7t1HXBxINow0Xnzf08auddLn/4rv9D1rMz85VW1naR5hlFjVoANxzjzidnw/8XTRRWvbUgqoJ9hn2Zc9lNcUjr47ClP/NRok2zLeCRapAIFzWA9TZAD9gP1ikGC2s8n31GpdZBEjPUZPh2c+R4fGuXkvE+dwWUukr4FiTa3lmUURjIOYG6XJ1Nrk2D6L5wuffS9wOFvXq1QuCIFj8LV++HACwfPlybDfrANirVy8cPHgQWq0WZ86cwbBhwyzud+zYsTh//jy0Wi327t2Lrl27WiyTkJCAc+fOoUGDBor506ZNQ05ODo4dO4ZbbrnF3adYKxQUAPv2AXk5hgN3eTDDThma+UhocvKdpe+dHQk47iaxcRkAZPwmHhRURv7FDWtgyixytV+RnLEUraJCDBiZq6gAzmWKn7Pm9c+gdUtxBz89XRbAqYaeRYrMoijrQ2zHxEjBEs8Ei2KlaStnWOTBorg4uJlZ5FwZ2l9/Ae+8I04HBYk7ymFhwPWG+MP580CxzrJZJELrAiF1MGsW0LEjcOvgZ6DXGyKODBY5xbLBtfWDZWPfovJys6yUGFkdaI3ILBKzh07JYhimJv/hZsGiJgMBoNJgUViELLPI2UHKCmTBosrK0BQZJc7txcqfAyA2lHeocbSrNJnAD82BH1sBVzdbXm94T2yVoQHitmDSJOny229X8pjGEjFn+19UOBEsimgqBhEBMc39wjrnHstRhmBRYakyeGvZs6gaM4sCZQfpRT4WLJKXoZVIr0+MrDrR1PhWm4N+faXfX68EiwRBOqiKaIwLF6UzZmvXVnLbpv5RirZnewYyDIGX6xrnmebn5DvXD7FayXoWhYYKiIkB7r1XunrznlbKvlOZf3h+HQz7srN/fhnrt7bGrG/Hoeu0vTh21sbALdXJuG0Ojlb2mXMpsyhV/B9SR1nSBphVAVSeeZOdJZWPy4NFXu9ZpCsTs6MAZc9CQBoRTa917fWzpbwA57KaotmEc0h+aiX+Oi9LLc9yICXZvAwt8jrpt8ObmUVscE21mU4H3HILcPPNQJ1haWg2Pg39312K6dOB9euBAo3s6MWsDM18JDS5W26RzuRu2QLTaD8OUamk7CJBL40cZI9sY6YLrGMK0ngiWHS9LLnhmJXj1YsXgfIKMXW5RcJptGqWZ7rOVIpWzcGi6EjrvbhUKim76OJFD5wwqKQMLdesea+8Z1GRNtLJnkWOl6GVlor1/MaWZK+/DnTpIk7L388TZ2OAgBDljSPFg+qvvhIvHjpeF5evGfposQzNKY5kFgF2+hZFy8o7fXVENCuZRVaDRSF1pAPx4BggUTwlfOaMtKx8tEAjdZhUFqHROJkmqRgJrbLMIteDBObBIqCK+xZl7pBGzDq9yPL6ksoziwBg1Cgg3rA5/vprs2xQc8bAeFVmFgFA6/HS9ImPqiY7wNisuVS5Pnl5QKkuVppR1ZlF+grp+xN9vVT+7muZRfIyNEND8MBAsxJ3Wd+iponZuPFGcfqvv5wsxfeE8nzp+xHWSFEGs3t3JaMVNu4vHXxdWCu+R7XQ+h+kMv0RT0kvUHae9d8onyDLLEpMVEGlkjKLAHF0R7QaI804Nd/z62AotzmVLp18OHLpRtw0ZSdWLK2G0RPtKZcFixR95pwMdmgypb6hdTpalic4WQWQnSHtu/pUGZpOlv5rnllUVSOilRfgt6N3oawiFIIQgG9+TpAa8OfsrXx7Y8qYDBMbZAcEShnohacUJdZVyqJnETOLqBa7dEnZW+d8djN8t7snZswAHnkEuL53XxRpDD+qZmVo8nRY82BRQIA07HxJiZVeJJVxthRNtm75pbGmaU+0pKqsybX8YK95whm0biw1p7YaLFLbCBaF1pP6BbhbhhZt+wDDGCzSaJS11C6pLFgkO0vnfmaR42VokydLr/1NNylHP1IE/46rLEvRolqipET5Xl/ONQSL/PgHwRWKrBk7wSJjjw/AbFsRFAFENBOn8//1zR4aigbXDVBSAlyWVcWmpRnOIKpUQLsp4gFxx1niqCpQNlfu0MHy7sMipGBRaamzwSJ5ZpFlE34F+c6ik71qcqwMN12lfYvkAwBc3Sz2t1Ncb8gsKpb6RFkLFkVEAC+/LE7r9VImolXBhoMPnca5HVJng0X1ekgNVXP/dqyPg7NsBIsAKE4CVXnPotIr0ogyEU2BSMNntOSisuzY2+RlaMViICUmxuwYUj5YgkYqRXOpFN9d8m1SRGNkmZ3j+OYbO7cNjgYaGHbetFlA+lY7C9dMggCs3yqeiAgMqMDTI6TAQk5htG/+zgh6lBdcRXahmCJpzOZv1EjaR927F8iLelT6LF5cD5Q4P1iKXYZ9oEu5yhH2SrQRGDYiFMOGVUMJsi3GbW1wjLS9BpzPBpU3t47taHm9kyd2c7Kk36fGdaVIbVGRlz9n8oEsbJWhAZ4dEa28UHHsmJoKIN7Qt6iiyP4ojPKMyfDG0gbY2LdI0AMFJ6zf1tPMK17Ys4hqM+VoRdmIVCt3Dq9kqLH3tKHMz6wMTb5TaV6GBrg5KlrMDVIJStZO5c6PNbKd2muF0g6wJ8vQAAeCRfXPoHVDaYbpTLUxyKAKVP6IyQUESoELlxpciz88EaFFCAq1XXffWNZn1+1StMBQqSTMSl14boF09i4uTiwHU6vFg4NCjZPBogrHytC2bQM+Mow8rVaL5WfBsp6VFpli5sGi6Fb45x/x4NHItGPEMjSnGLcvkepChASVWx0NDRC3H8bv2b59ysCn6axRRaFLowRWOUNgAuoEIDDEaqmqabvR7jXg0Wyg5WjTdcaeRnXqKL+bRupwKfNNo3UxWBTW0OroiArulKFlWgYVdu9Wfoc8Sr6DXlGoTF/X60zXZxZJBzTmZWhGL7wg/U58+SVw1tao7YqSWycOPuTBIhtlmAoqlWV2kadV2A4WpefKykmqugxN3q8ooqkyoFlk643wAnlmUaHYz9FigFwbwSLAC6VoZqUa5ieF1lVW3SgfFe187StFO3IEOHtVbB3Qs+0uNGxRD+Fq8TuRXVBXeWLKV5ReRVZ+rOmifJ/bWIqm0wHb/ggFmj8nzhAqgDOLPbseZsGiJok5eLaX9BgrVoiVCh5pc+AMnVbanwyOMQTmDb+XzmaDyvsVxXWyvN7JYFF2jrgedSJyER5aiuBAsfSrsKCqfiAdJP+dNz+Rp5YHizybWSRvYXLwICA42rdInjEpHzDEG02uORqaCYNFfkB+5n/U3Z8hf3EMTm14F+Nl+6pnMpuLE2ZlaPYyiwAxPdY4kpjTQ8iqVNLZLcB+tBlQ7NTmFUt7cZ7ILGrRQkw5B6yXoZlnFrWqLzVZs8gsCq0rNTC1xvgjpMkQD3qcUFAgvsDRYQWWZwlkPN/kOlb8b7UMTVoPYz+WqEjxB9LpBteKMjTrmUX5+YC8zdmsWcrgEGAtWGSWchDVEvv3K2exDM01xmBR3UjDhI3MIkAqRdPpgB07ZFfI+xb5WpNrfYW0s2ilBM3oyBHLeYDYIybdsM/RqZP1ZvxhEVKwqLTUiZ9lba60A1NZc2vAdn86B+SkSwGR2HBxO5CXZ3176RHmQcMrstQNTYYpWyWzQPxhCgqy/VsQHQ3T751OB7z7ro3HVPTAyHN8XRWZRQ6WuDR9QhqF8eL/Kj9Z4iy9mBllLVh0NVdWel7VZWjykdAimir7avlS3yJ5z6IicfQny2CRbCdIk6koxd+8uZJRyDxNESxqZBEs2rVLzCq3qUEfKQvu4nrfyvLygPVrpYPk/j3/AQDEx4jbvJyiup7t0eIpsn5FgPVgEQBs2gSgxUhpP/P0Z5aZl+7QZqNIE4H8klgAQHLDAix+biRWvfAkIiPEEqJjx5T94KqF/D0LjhGfv3F76+z7aexXBFg2twacDqRk54q/4fFR2UBwNKLCxM+a1zOLKuxkFlVhGZr82DErC7iq6yVdb69vkXlza6NYWZPrvGpqcm0xGpr/Vh0wWOQHFGUiEbkICBDQoqXKVEIGAKfTDWf7zMrQKsssiogA7r5bnL5yBThwwMmVkx/EV3bwosgsks6geyKzKCQEaGnYhz1+XOqDYyTPJGiRcBrX1TmAIMNoopbBIhslaEbGWmhBD2gznVpPY8+imPB8u1kEVTYimnmwSNAjt8gyy8sYLCrSRHo8s+ill6Tn1KsXMG6c5TLJyeJ7CtjILIpqafFZvZRreNGYWeQwQZC2L3GRhgkbmUWA1OQaMOtbFCOL7vlak2tZYMJesMjW8Nn//CNNd+xofRl1eKj0cFrLEQ5tUvQrqqS5NeDWaGi5mdLBZJ8Ov5imq6xvkfnZ3Cs/y66TagCzCsSNTr169kfFHDdOKpFdvtzGdtHdzKKAUGmU0coEqoGWz4vTgg44ucDxx3OEvcyiHHmvj6rOLJIHi5pJZWiAb/UtMpShactDoNWKu8Yx5gnCobL9FW0mAgKAvn3Fiy6V4rvDrOm+eRkaUEkpWqAaaPyoOF1RqAzG1gLrN0gH6f37iAH1ujHi/kVOUV0IZdUwCqCzzEZCk5+gveMOaZ9m0yZACG8CNDSM9FZ6Fbi0wXProc2WyvIBNEwS9+Ge7P4V9n+/0XRS8OefAW11tjCSb5ON/YqMWfzOlqEZM4sC1UB0G8vrncgsKi8H8ovE/dW6kTlAbAdEhopBGq/3LLIXLAqrnswiAEhNayu1lrCXWVRs1tzayBcyi8pyfbN8tRowWOQHLBrQAkBoPJo3l+afzjAGi2yPhmYtswgAHpSNTOp0KraiLKKSnVbjDrkqCNfypZojT2QWAVI2ilYr9iCRM2YWBQWWo3HdiwjWnsV1hsHcTp0C9GWlUupkSCUjRrjY5FqnAwoLDTuxYV4KFulKlEM967S4VixF64w7EZER4gbVrcwiK8Gi778Hli0Tp6OixIO+ACtbsaAgoJUh0eLUKaA80KyrsLXMovxkcYLBIocVFEiB1bqROWIj8cAQm8v37Ckd0CubXMuCRb6WWSQ/0xXmfGaRvF+RrWCRomeRNsjxdVP0K5Iyi44dE3t4WQSw5IE8J8vQcrKlM9f9Oksb+qoLFpllFuX/CxSdE6cNB8qCAGTmisEQa/2K5OrUAV58UZwuLwfef9/KQvJgkSuZRY70K5JrORoIMLz3ZxbZzO7Q6104KLPTsyg9R967qrozi3w0WGTILJK/XvbL0MSzzl4rRbORWRQh2y1wrhTtK4+tmrelpQGpR8Rt3U3X/Y3GbcSDzvg64ndCpw9Cfra3j+KtKD5vM7MoIgK4/XZx+tw5wz6pvNG1J4PN2hxFv6JGDaSzp60applONBcVAX9UwWBsNplnFsn/O7W9LpJOtMTcCARY+c0NjpSCK5W0jJCfkI+PygFi2iJSbQwWOVlW7mn2ehYpsqc82LOoQtmzCABSDwUB8YZ2J8XnTQNUWDAfCc0ooql0zJNfDZlFep1lJpGg882MxGrAYJEfMM8sAgCE1kPjxlKfF1tlaBmGFP/oqArlqCAy8gyl7793cuXk/R0qS4c3BrKCo5CXL22APZFZBCj7FslLKwRBChY1q38ZQYE6oPg8WrUSAyIlJcDlc3nSDSrLLHIxWCQ/QyGWoVVjsChY9iLLf5R1pcgtkkoaTGVohmNSbbka5WVOjLRiDBYFBFv8gGdl4f/ZO+8wN6r763+02iLtrrZX17W9btjGBtNMCT0QCD2U0BIg4EACSUggIYF0XkISEsgPCC0koQRC6C30FnqxwQaMG+7bu7QraVfl/ePOzL0zGrVdadc2e57Hj0fSSDsazdxy7jnny/nny8fXXw9TLdVOVejkXygE69sV1YWrFn/IwyeWxYmt3dqHBdq/sKsH6UJtWyqLO5NacCorZcDz8uXK+7dnZVGSSmj6tT4Sssjllu3Z8JVFkiw66yxhtTr+eEumUDrkvAXqb334gufJzxXsRdZCru0G6Lq6SBto9g6UMhQS5ysZWQRClahPpu+4A5qtf8IUmNqT+rEOlyxy18OUU8R2sBM23mu8FI0KIu7ii0UFvdJSsZKfMhKQRc1tisV3TDOLtkOyKCj772SZRSCs+Lri48knR7HrUFbgAzmTjfHB7rvLvu+NN8xB/DGoOViqbrc9ld41vx3j0Ufl9gl7PAJluwJQWS4J7842e2J2TGFRFlnV/KoV7bnngNpDZTXRtlegJ0OKi2CHmSya7DC9po75RzXY3Y4s0gn+cMC8kJkIPR8B2o2qFxqwgz5WTzJOV4s/VJUHIb9ckkX9zuzl+qWCMbKhmYoooIdcp5BbFI8scuRAiTZJ820wuxCygWC7cH/EPP/FtKKNk0VfAJgmdB5NZlRQRW6usOuAUBZFo8RWQ9NWOWpr4mfrTJwoBiggJoAJffJW5KVBFumTm7wSuhU3VKaURfFCrtvaZOWHGZM01UnIx+xGGVCw+hOlNESWyKJepZ9MZkObOFEqODKaWQRmK1oSsgikGiolhLUOwKIqikbh298WvwWI1dxzzkn8Uabcoi3T5QPPTFasiLUabuvSfpdIUKrExpEQMarFBBY0HXpuUTSqrErml8tVrt4dhyyqqRGV+ECUzrazguhkUUEBzLFRu4O5PLc/mGe/kx36VGWRIET7+jBUc59/Du+9p+w/AhtaZ7c4rjznIJXFnewx7X1AnAu77z0ihIMyi0mtxqiTRXolNK9MtI4Xbq2iqgou1HLHg0H44x8tOwxHWRSNDp8sAlPQdfSz61nxUZQrrhB98377wY03inYvGBRKypShkUVef+w92dKuWOVGy4aWWyTKIOdXyGyo7UlZpNnQeofkBCXGhmZDFhUXS3vt1q1mcjir0EP3c4vp6JUHWlUFJ58sd0toRctxwpRTxXYkKLKLdgI8onyN4xc/ZlhYqirkwlVHW4rEwmgiQWYR2JBFDgc0ykIKrM2AuigyBEM9MsMRmDRFUQsHO/jylzFiGNLOKh0JVLLIakOzvp4IaiU0u3BrHfqYZKgvITnR0STHxJWVUcjz4FEKCQ1kmddICFPAtYUsKqiU1ZkzaEMb6PPT5zc3nsuXA9X7ySfi5RbFI4sAynQrWjT7i4rxlFZf0JDrcbLoCwB7ZZEgNHQr2kCwSHRSysDR7wsaN3xdbWJqXLWiPflkGgeXDlmkv57roadHPp0pZVFMKLIGU17RVHl+Zk+VM6Q1qxX1TFKyaILcToMsUqtHJVMW5eeL1WiALVvi7pY61AmbiSwK0NUvGCKHI2IMrj0lciXK60ujmdFtGBay6N574eGHxXZlJdx2W+J8ErD8nhuVc25jQQPY1lklBz3jVrSUkK6yCCRZBJaMDz3kOtgOge1o9cZCFnm9MrB65kxYsEC+bFUX9ffLTLP5880V+1SoZFFgMA2ySFcWOXKgWBCi1mvbNFlUyaJ0q6H1CTVKpacThwP2nSVXBjNuRVMHrjUHSYK99SXRRmjKorZeOXlPRVkE8MMfigqKALfcYiG61IDrVFUW4YCoSATDI4sq9+TzoZO4+tGfsuDC+1m4yMHvfgebNsXuavdcwuMijg2tVVFtZtOGFo1Av7ZaUdQgGm2HQ6qLBjanZ1POJgbFJKBvSPYVMcqifKV4Re8nRqjwqFvRolGpLCqcZFRigliy6ItmRWtvhzfeEB35rPrVzJ09aBTLqKyQ49jOjjQUz6OFJMqihQslKf7SS8JOy/RvyCyYDXeNPLBeI01NyqKpihIx2EFpKRxwgHj4+edKbme2YSokoN2cwyGLej6U23bh1jrUhd0EZErHVpk9WlWTC7keQ1kEY5xblEhZ5MhRqjNnzobWahPFum4deAv2kU+0p6IsmmR+rXQUQ65VpZVDUXuPk0Xj2Flhm1nkEj1Oo6IIX982w2RNaG2Xqwm1tYln5upgKS0rWqrVeSIhY/BLnsekLMoUWTR7tiQgVGWRqRLaNDnAmFX+urG9erVyK6WjLErihVYRqyyKXw0NZInu5uYMhBDGJYuksqjM4zcqynk88nz4+tOw1eg2NKccnGzdCt/9rtzl1lvtw9atMJFFmxtEaXEcMOVU04RaV0MFB/NFlRQYr4iWIoajLPrSl2TOVNzcou3JimYhi1TyeOZMQQLpsJJFK1fKVdd4FjSQFSUB/MH4mU8mRKMys6hompEV9f775t0eekhZ+c1xynsrHUVJOECXVwzK9QWH/WbJlcGMk0UqiV44ESYcpR2HX9gttN+krS99sqiuDi64QGwPDMCf/qS8aFIWpTjxsJvApIDmZrjhBthnH5jxzQe58j9X88lWeTE5nXDEEUJNpLd3Gzem/PGJM4tac0QYN2RXWRRokwUOihTPsE4WRSPCUjDWCEs1ad+Q7FxilEU5TqjWgmP6N8Jn1wNmK/6okEVDPVKFawm3rq6GefOkivGNN0Txkbio3Msgmml9MbN2lDHAe+9BJCIGcsfs9gSOcsnmV1XJcWxH+3ZmNY9GYzKLrDmhOTnC9gjg9cI77yDarGlniidDPthwz8iOQyNNVbJoYoNyI2g2nDGxoqkh1oYNbRjWYV1Z5MgxLIo6NmwQFuWeHlJ2AXS2KMqimiLI247IokSZRSDVU4FWe9vVMGBajFCw4rNyGVTdvcy+79FJ8FyP+beF0Q25VskztXjIuA1tHDsrTMqi4i7BkmoNrUoWrWtpNA18WzvkDKauPvGlsttuwvoEYsUj5cYxVWWRmq+RV2JSFmXKhlZYKG15q1bJCZaJLNpVDnhnD1xubK9ep8z20rKhJRrFmWEii5IEXIM5tyhhbkEqMJFFPXJbURaVe6TWtlghi7z9aQT26gPgXCG1iEbh3HPldz/jDDjppNQ+atYsSf6tWp0Lx6yFE5pgwhEGWZSTIyZkOrZ2agOkcWVRSlDJIqEsSj5ZLi2FxYvF9scfS2uhoSyC7Svk2q+QRe6JprwiK1lkDZROJa8IxHXqyhdkeGAwRbIo0CJXDZXBjMl2hlj5NVljdCl6GplFwa7N9AfF+yrLBAmxZOZbxusZzy1S20V3PUw4Wj5uetqohtY+IBu5VGxoOi6/XObM3Hij0kcOJ7MoDbKopwfuvBMOOwwmTYLvf1+b8CnYb9br3PjHdpqa4Jln4BvfwCim0NYG/lSjVmzIIr2vbGmBqJ4XOFIlQiJYw611qBXRtofcImUBpDcoZ+gxyiKA3f8EaB3Lx7+C/i1MmSKz2N5/Pwk5kwn0m1ffO5T5S1WVaE90dVE0msSK5nDA1K9rO0dgczIp0vYN9dw31q6DMkkWVVbLhavOLrYvBDsg7DeURSUlYkxqRYwVDWDmRfLJtTeNzBemTYZ1ssjphNqJhZJc1l4/WmmS03ITjAS2Addl9q/HQ2RIBiR7ZhmqMxDzlv33F9mY559PymRRR4uMLaiqL4W8EqMaGghib8yQSFkEUlkUDWdMNdPSJscwUybLvIcPPwRqDpR/z6ouikbleKvIYkGDUSaLFNJc/buD48qiceyk0AfCxS4f+blDmk9V/PQmsqi1Uah3NGl1S7v0RtTWJZ7wOxxSXRQMwvPPp3hwqZJFKgOdmx1lEUg1is8ns5dMZNFus2GuIIlqS7ZRUiiOec0G5XskI4tctRiDzeHa0AoT29AgwyHXcTKLIkN+oxpaRanMcFKVRV5firaaaDRGWfTXv8praeJE+L//S/2Q3W5J/n32GURy3OCuIxDACLeeO1dWTQOkT3+cLEoJMRbXFGxoIDM+AF55RdvYXkOudWVRQSXkumOURfOUcYRVWZQqWQTgyhcZGv7BgtQG+3HCra3KIrBa0bTfKA0bWpcSRFdR5QJHDrWlbTRO2Gz8zYyWUFbbRfcEqDtUVg3b9pRUFg3ILLJUlUUg2pJzzxXbPp9Q+ACWdq4ntQ8LJSaLBgbggQfghBOEUuC88+DFF83B4wsXwu9+8DIbr5/K6784gO8cdLXp+zQ0yO2UrWg2ZNFsLQt3aAi6AtpgPM2g87RgDbfWoa7Ubg+5RYOyIUsYcA1QsVhUsQOhRlr2A8Bsxc+60sKS62EliyBNK5pOFgFs/NeID28soYbW15c1m8iiqmo5ju3o2M6mP9q9ogcDx1NP68oiUMii8oUyD6b3U2h7dfjHoZFB27rEWGjCBHDmOuS4Vnt91iw5f/jf/zAt4GYNtgHXadrQej+FiJZXZbGg3X67JBsfewz6lPyyRIo7Nf+qamIl5HrwuGW7ut3Y0KyZRQDuzFdEa+mQc8cjj5RjGRNZBEIlrCLYIR0k1rwiELY0vY/Ntg1NPRfqQua4DW0cOyv01X/DglYgl2D1zCJQKqJpxExrpyQjkimLYJi+fVMp50RkkTogN5NFtgO6YcIu5Foli6ZPBxZeDTVfwuGAWXXCrL2xqZTAoLbykowsysmT+ww34NrdC87RJIvsbWh9PSGiUXFtmMgiNbOoP0WlRGRQymCdbtauhcsuky/feWf6xKBO/vX3S/Jv5UpRIQ2EwkVXxIEivf6CSk3ThUlZ5OlMyYYG5twiw4qm2tC2F2VRNCJLvLpjK6HNnCnaH70q38cfm3kelSzSlQfx4DbIIre07iSCGm5dIsiijg4howezrfbBB5Xj0lcX07AfdW6TA6fK6jxDGbJvo0goDwZh2bKUPy45VGWRq14MEKu1kIz+DQYR0t4vG7l0yCKAn/xEhrTecIPWvppWqXtS+yAbZdHQkKhcdtZZgiA69VRRoWlQydSdPh2uvFIQ1x9+CD++Zlem1mkk9fo7TZ+rVn1M2YoWiiWLZiocTYu3QTv+bJJFqrKoQW6rFdG2B7IoqJBFAVmwIcaGpmPhb2XY9ZaHoOmZ0c0tMlljY21oIBSPOjn4+us2lf9UlM2TdpzOt8H3eUYPdzShfs8J5U1mZVGNy9ju7EkjG2400L+JgaBb5oTGIYsmTJBq1vfeUxZsZn5H7jSSoOtgB8GhfNq0SsiTdDeaShZFozgc0ooWDivEVTaRLOB6MAWyqFsJt1bIomAQrrtO+VND8Px7yoQgQWSEaRw0qV7Y0BRl0XZDFiWyoUHGQq5bOuTc5LDDnMY4ZPlyzGRR6yvmNyYKtwYxoNFVPgObs6uK9cdRFn1B5wbjZNFOjmhUdiaVxdpFrpAZDQ0yP2RdqzaA01YaWzrlINPqnbbDIYdI2eyTT8ZWm7KFMz+17ASLskhfxSgtxcjJyQTUnBudLNKVBBMnakG0Obmw3/3gqmV2vSCLotEcef5cScgikPLWQEvKkuF0qqHB6JBFXZ3yR64okzMhtRqaz5/ioExXFQFhivjGN2QViQsvNMuvU4VdaLmaV7R4sTIYQlEWjWcWpYThBFyDkHrrE3Uj5NpVK6+z7UVZFGiT4cWFsWSRvrKqD969XnmvhcOwYoXcz5Pk1LgKhKIzMOQy3Qtx4VXIIk2poV7bX/mKOM8gAkiNHDb9N4oMplxquKtF/tAV1W5j8LRv4/+M5zOaW2RSFmltpZ5bpKDNJ20C6djQQBAwZ58ttnt7hR1tWPkXyoD1440zuPBCUVzg6KPhnnvME4W6Omk9W7cOfvMbZYGioBIa9OwRL3z+D+N9w1IWRbSA64D4Tm63ua1r7tM6iMhg9kKm49nQVLJou7Chyeu71y/7urgLUfnlsJtSSu/977J4UcCY4L/wQhp2weHAEgJrpyxKy4oGlqDr+zNymGMBk7KosttkeayqlYqHji4X2xX6N5nKjSfKZdTHQpGI0n9OPkkhMB+BgWF6IYOdNHXLkHdjMU2fN0QGDQJi1K1oChnU2lXOE09AICLJ3ZQI/u4P5bZSCe2ee2LjGp54SWmzEtnQuuQYt6qucLsNuO4b8PDYYxYVmEuZ3A33mrFAnTvOaHQY6v2PP4ah3Fq5MNj1njlTyUKC20INuc7moqJJWaSSRePKonHshPD5pIpCVkKTo+qCAkkqrGvROlVdWdQtB86pBAq7XLITa2+Hd99N8SB1WWEamUW6sihTeUU6VGXRqlXC+qUPxFQVFu562O8+ZtfLCduaFq1FTKYs0t8PwvKXYuOTTjU0yCJZpHTIXV2S6KooGzK21Ymxt1/Jc0oEZYL8hwdP5y0tEmXGDPjDH9I6WgOpkEX2yqJxsigVDCfgGqCoCPbeW2yvWaMN0hwOOYgY2JrdVaNUYQm3BkkW1deLstlgXxFtzRo5YUxmQQNwa2SRf9AtqwImgo0NTc0r2nNPc76XMVk0qTlTG8V2tsj2t6LWYwye1JDrjOYWWW1oYE8W9cq+LF1lEcAVV8jFkj//GXwDebJdTTPgur2vir2+/k1uucV8X5SVSevZ1q3i7+y1V5xqjrMvkdur/89QWqpkUfrKItGPl5TICpkALX1Kw5ctdVE8sqigWl6H6nU8VlBtaAE50YmrLAJB7NV8SWz71pPz2bWG0sLvF7931mCZVNmRRZCuFe00ub3pgREd3liiuUncMw5HhNrJlSKUXENlrVRWdPa4Y947prBUQku0QGubW+TMhxnni+1oCNbdNrzjCHaYK6EZyqJK0z4gilXofeB//5viAvFIoLXJkYiDLx1Zz7HHwhV/3FO+nq6yqGwRII772mvl0/pC1tMvlBKOaB1EPLJoyEdnr7yuKiqICbge08wihYw57ZvVHH88nK7wwibivuejjPzJls4yY7uuTmTaglBvrV4N1B4knoiGoV0ZOCRTFsHo5RbpKiunC4qnyefHlUXj2BlhWwnNQmboJEjPQDldvnJj8NvSJTuHVJRFYPbtpyzFToUsUgazUUVZlMm8IohVFpnyimZYdq49mFl77248XN00W1jMUpkwD6MiWrrV0FSyaMuW+PulhHjKIjWzplxWiitWDs07kOIKXkjIiFZsXsDP7xQZCjk5cNddglwYDhKRRTk5YhJvUhZ1jSuL0oH6+5cXdaesLAJzbpFhRTOFXH82soPLBCxkUV+fDORWLT12FdHSySsCcOWLkXZgyGWoQhJCVxblFBgDKzWvaI894MQT5WODLFJzC1LMq+lql8dTWVsKZeIL7zLxU0o94rU33xxZrqoJug0tJ09OUkrmiKpvCtp7ywCx6FGcuDm0RWMjfF2La+nsFBlphq0hTWXRO+v2xh8QK8xut7CePfaYCJO+4w5xvSdVwZbNh9pDxbZvnQjzxmxDSzezyBsQ92RJiXnRR626lNACPhLomUU5+eYVbIdDTlL6N6ascMsaFBtab79swxJa3B0O2OMmcGgzy0+u4ZjDZF+eVSuaOqkqsrehgSCx9VX9//0viRWtaKok672rM3gzjy6atolxSJWng7yquabXCks9uPLEfdHRO8xBRbbQv9F0TyZaoD3gAFlB87nnlJ+qcamRR8r624z80bQQ7JAKa2xsaGAscObnywIhHR1pLBAPF1pb29pby5q1ojF96iXlRCUj+KMRqSwqnGS4AB56SC4CHXywtNe1t+fw3udLxIN4Fi3f53R4xeeUefoF0ZRXgse1fWUWRaPw8quirXruOUX5WLm33LfjLTKB1h6h9nI4IlRXm8c/IrfoIPmEmltkaddsUaaQRT3ZJIs0ZZGrTmSoOrV5zHjA9Th2RsTYRCCGLIoJuR7yQjRCa0/6ZNHRR8sV08cfT/EgVbIo3gBFIZIGQuUMaX1gppVFJSVSafLpp5jCbGPIImD2oZIdW908G/Ir4ywZW+CWMt9Uc4vSVRZVVgq1F2RAWaRmecQhi8pLZWKrWVmUIlkU9hMKOznrr3czFBKd2mWXwb77DueABaxkUTAoJ/Nz5ggSqrxcnqdxZVF60MnossJunDmRtMiipLlF24MVzUIWWfOKdNhVRFPJot2k2j0u3C4xyQmF8wgFkiiLImGZ9eKZYaye68qi0lLRrk+eLBVcK1ZoA2KVzE5FURKN0tUpieCKqhxjdS8nJ8qSXYQVt7VVVF7LCPQ20VUv21OHI0Zd1NYl2sCamtSaXTv87GfyvX/8IwxEtMlHmplFq5rktXvrrXD//WLxRJ/UpYzZ35Pbq0Xytkr8p6wsCvuJRqFvQLBoVrKouVuRYmVDWaSVAgcEEeGwDDd1sigaMSuQxgKqsqhfVkdKmodYNh/mfF9sR4IcVnIRLpcYwzz5ZBb5Fn1SleuBvBJDWeRymStoWa1oDz+c5HN1Qi8ckJVJdyBEo9DSJtrC+rJmEfyswJGTQ6VH/NadfRkMu8wELMqiRGRRYaEgjECQx0a/VDQZJh4ntv3NsPXR9I8jrrKoyrSPjlG1omlk0LY+WdBh3QYX/YFC0+tx4dsg5xJaXlE0CtdcI3e54gpz/uqTK08RG/HG6QpZVFWuLarkFm9HNjTRtrf5phAIiI4uHIaPdBGRq0oWHOj6YOSW5PAgLT2iHakq6SUvz44sipNb1J+Kski1oWUp5DoyJK9xV61oSPO1+fC4DW0cOyNMyg9dWeQyhzuYyKKWRtG4KCU8y4q9KQ94a2rk5OSTT1KcPOgTzGgofrCrsgLeMyBJrEwri0Ba0bq7zTkc6nnSMXOWvIXWtMyC6v1T+yOu1EpyqogJuE5CFjkccpKxefMIB665RXIFVSWLuuVSeUWF/AMmssifotw77OftdfuwYrMY4C1YAL/61fAPGQSZqA+6Vq0SE3mdaNTLtzscckC0rXucLEoHOllU6dE2UrShASxZIifSRu6CWhFtewi59qdGFs2ZI1Ujw1YWFUgNf6A/yYBtYIus6KJZ0JqaZCWXxYulvSrGiqYSeqnY0IKddPZJ2U5lpfY3tfZg35mvG69lJLcoPCjvP1WBCSayKBJx0NElLqDhWNB0zJ0LX/ua2G5rg9tfOEs8CPWntjJvQxbNnRtv5xQw8Wgo1lYmWl6Ank9wu+WCTTrKIv+gm3BE/E4xNrRuZfKXDbJosFteX6oFTYeSJTPmuUUqWaQoYRPa0HTM/wW4xQpTYfejHLqvWJFuaspw6LsKXfmqVTLSyaLq6ljSNC0rmjo23AHVtZ2dMDQkGuIJZU1QsWfMPlUlPQB09JVtX+Kp/k0pK4sgjhUNYJYSdL3mpvSPw0IWxWQWafvoOErh77NeBdAgi2TbEY06+GSbpjZJpgZV84o0sujZZ2VfvXgxHHaY+Ts98cFXxEagDSJy0URHqOdzegbERKSyQlswzcmluFD2HduDDW1T92zT06aqqVWaeioyCF0ja7SiQ15j7lhX2QOYxz/LlwNuNbfofWmVS8WG5qqFfC2nKls2NLXt06vF6QpnLeD9i4Zxsmgnh8mGZmQW2dvQQKuINtQHoX5ZwrOiJ62/mbYVLVdZ4YlnRVMGs3qpdsguWQTm47dTFhUVidV7gNXti2Hv243XOjrg/PPhu9+VBIUBdRKkVv5JgHQDrkGSRT7fCEubOhzSiqZ0yF09KlkkdzcHXKdIFoUGaO+Tg9Wvf30Yq/I20H/Pjg4xMNChk0UgB0S9A6X4AkVfWF9yOgiH5TVltC1pKItcLqka27hRU0yoNrTtTVnkjk8WFRRIu8eqVSInbrkWjVBdbZ6kx4PbJZV5/v4kthybcGt18LenMkeKIYtU+2oqJIHvc7p88uauqEDkY2h/d7+pUkKakdwiNVhSVWCCyDrQ5ODd/eWEw2JmnG64tRVXXim3//jQGUQi2ow7lQwMnSzaJhmiOXNGcDCOHJh1sXy85i+AzC1qahIKyYSIRiHsN1VCi7GhdZXJB9nIB4uXV6Rje6qIptrQvKJ6Z35+iv1PXjEsvt54eMysG4ztrFjRohFpG8wThIdOFlVVxe6+666yrXrtNWGLjAslz3JHXDAxhVuXt5gCjHVUlog2byiUP7aKDxWDPTDUm7KyCBKQRbWHQIlGDLS9mn6J8WAnWztTVxbV1sr+5qOPMhB5kAhae9zU12B6esVmrZJfMmWRTSU0q6rI4RDnXv9OKzbMZHPHZCAqCCMLuprkDVVVnWtsezyyP98ebGgbO2eZnjaTRYp8f4RWtN4OH8Eh0UfXVYp7rbZWXs8ffqhxLUZuUQg63qS1FZq3asqs/ArILcQWDodhg8ffZFq8zhhUy6GutjQFvPdn/m9u5xgni3Zy2CqLUrCh9fcO4NOyDmor0qPF0y4hm5cKWSSf7xmQy32ZtqGBeVU4YWaRBn2S2NVTQEefOKCtW4VM+I474KabRO6OCe70lUW6Dc2ZE8Kd70+LLIIMhlwrjXO3Un5WJYtMmUX+IiOoNSHCfvqD8jslqx6VKtTf89575bZKFsXkFg31Za9C0E6Cnh65wGJYXNNQFoGNFa1wsvCHw/ahLDLZ0CbGJYtAWtEGB8WkTM8RWbQoNYuUq0DeI4GBJNden0oWxYZb77GH3J4+Xdrg3n8fNrUrwcapZBb5PqfTJ9WclfqmZkXba/obOJ3iQsiIskglz63KotxCmHQ8AG1DMi9uJMoiEBNq/Vrc2l5Nu1ebNKcScj3URzQqlUVTpgwvP8mEGefIe2nD3RDsMoVcJ23LNdWZlSwqLpY2peYORTaTYnZVWlDJokJBFm3apNipPcoNNNZkkaos8ok+LakFTcXkk6BehLd8dZ7s7LNCFoV8sj/NL6O3VxYxsSOL0rKixSEEdhQ0bZHZavW1Q7ZjpKoyOXPvaItViowJtHslHWXRggVSbfjyy6LfAcQPPvMiuePam9M7Fktm0QSdr09wbegZP5BFdVFkyLBGbus2q05WbhkGWVSxG2+8IfpqEAT/CSfIl9V5zFMfal47m9yijm1yPFxVK1WJxcqlt12QRR3TTU/bKotgxGRRyzZpoa+rkqSKPgbp6hLzIzW3aMX/PmPu3CgTzn2XC+64ld5oEmmuGnKdjdwidcHKZVEWwRcyt2icLNrJYZ9ZZF6Gna60IboNrbVZdrp1Vem1dPPmwTQth/TVV82KGFuYyKI4g1ZlMNvtlRPSbCuL1L8T72/NVtSda9YI//h++8FnSj7vI49Y3jQMskg/j6WFvWLy6YzDvCvILFlUJv4f6hWZKUCXShZVSpWRyYYW8KRGvIQH8AXkLGvEEy4NdiHXDodZGmtfEW3HGyyPJmyJ6DSURWAOuX7pJYSqQrei9W8Q2RljCZ0syiuFPI+JLLKSx2pFtLvvltup5BUBuN1S2uwfSDKJUStIlQiyKJ6yCCzqohd3lQ+GUmjb+22URWAM2Ipd/Syc2wMIC96IFIxgXwlNxZ43w1630Tbj78ZTIyWLwNwPGiWsU8ktGuqjpaeO3oEyYIQWNB15JTD9HLEd9sP629MLuQ7rldDMZJHDIVVuLZ3KbCYryqKNcru4gSeeEOOCOXM0xbOqLBprG5qeQ+Fw0tsrmN2ULGg6HA5Y/H+Qk8/EiiZ2bxBWjmXLYstxjxiq1SavNG64tYqUrWjq2HAHtKE1r5fkfv0k+/FRZZnsUzrbtpNcJo0s0tsdhyO5WjInBw4/XGz7fPD228qL074hibINd6d+f0eGYKjXGAPV1gqFHTD2ZJHyHYxCJBpWbNU62aQ2NI0syi+HwikmVdGPfyyt22D+Tk8s05gjm7F6Z6ucm1RWK2SRR36YzzdGtqVI2OgLNnWa1Z2rVkG/zuWUzpOLEx0jq1TR0iRV0XXV8l6LzS0SlSQjEQcX/uogurtFu3v7yxcw76JHE+dfZbsimt9GWZSvkEVfwLnBOFm0kyOVamhFRVBfKybzug2tpUlOVmqrUijjrMDhkKx8KATPPJPkDeoEMxUbmk+yCNlWFumwyyvSoZJFDzwA++8fS8y88ILSMMOIqqGVunvB6TaVhI0HlSxasSKlPxMfakU0bQWnq1d2jhUVccgivyd+FpWKkB9fMLtkkY7Zs82fb1IW6atqO6AMfzShti3DVRbtuadUOrz8sjZG0b3s0YhZQTPaiEYlWaT553WyaOJEc5AsmEOujcpjpJZXBGayKDCQJCvHYkOLRqWyqKrKfN+DhSx6TlF0pKkscrki8nuXyS+87wJxYqJReOed5B+ZEImURSDaocbzae+XN+1IbWhgLuLQ1qexT6lURBvqy1xekYrZFwOaJG3NTTRMkZlWSUOubcgivU3WFQvdvS6CQ9pMMBuZRRYb2sMPi+ujuRnuuw9ZZQbM5OdYQFMWRfMq6OsT5zwtZRFAyUzY5ScAHLO7tGZmPPRXVU/klxkWNLBXFgEsXCjHMK+9JsLobaFmFu2A/V/zBmkTqp9m3ygYIcRAR0t6Y9sRo38TvHshbPxX7PNg2NCqqiAvz/rmWMS1ouWXQsOZYjvkE4RRKgh2Ego7ae4R7a66iJaILNptN0lCv/ACDGSDg1Ou+6Zu8+rAis3zxdghkbLI3yrJnvJFrFjpMIityZMt5eQR/bb+/V/69BARom0liyIhOtrlXKmqWkqIVbLI25eCsj4bCMtJx8a2SaaXIhElVzHHCZV7iW1/kzk7KE20NMt+qq5GjmNic4vqoGQO97xxJm9+qixgAds6qjjmGPGbtNs1Q9kOuTZZ4XVlUWw1wC8SxsminRym1f84mUUAjdMFG9zaW4e3Z5DWFuWGr05/dT+t3KJUbGhqwLVPztKyoSyqqoqdfMSzoIG0oQHccIMsrb1ggZykBYOWztzpkhXG0rShpVIJTceBStGBu+8eYS6biSzqAcxkUXmVHN3k5oIrXxBEvmBxisoif9aVRTpUCxrEURbtgCurowlb1WJeejOs/HxZ1WXbNo2MUXOLxtKKFuyUJGfhJLq7JUFmtaCBmSxSAy1TJYtcLjnQTFlZlFsMrjo2bZLHtueesba3OXOE4hPgzWU1NHVrI/s0M4tUq6m6urffLCldH3FukUlZFD/sqU3OCzOiLFI/o603TbJoWxbIIk8jTNDsDwNbmFokPX7DVRaBJbdIt71k24ZWNNVU7OK++xAXqa4u8m2wDY8dNWhkUcBRb1i60lIW6djlJ1A0jWN2l4OejFvR1GsyRbJItaJFIgmsaDu4Da15i1RKTmicYrtPZYW8zjrbR9lqvvJXsO4WePMM+PAKOSDr3yQquenBwEksaDoOO0xum8aXYLairbkptcFfsJPW3lojFF9dRDPZcCzXhsMhq6IFAkp100xCVRZ1mC/0Lm85Td0TBFkU73tawq1/9zv58Ec/UhRUGhwOqS4KDrl48ZNDY8fqA1vo9JYZD9X7r9gj84t83jEiixTl8Ka22L7UZEWrzkxuUUuLPP91tXIeGaMsAnoLj+Ty+35vPP+388/lyF3/azy+7z7h9HjgAcsfybayyDazSL3+x8micexkME3oPJ2CZMiNDRxunCEbs/WbCk0hiLXVKVSEseCAA+Tg9OmnpafeFmlmFnUrBEU2lEUQa0VLRBapyiIdS5YIC95558nnHn/cslOhZrHwNyftyAMB6UlPNdwahLXioIPE9urV8NZI7MgqWaTlFnX1imupsKCfArc5DdRTKEjGlJVFWbKh1dXFDvytZFFMZhHskIPl0YStajFNGxrY5BaVKLPtsQy5TrESmo7p08FtaVrdbjOZnAjqewP+BA1meFBY9ECrSuaIm1ekQlUXPbtC5KukVA1NURZVVipDBk8j5AiCeN+pckY84twiVWlpZ0PToK44Zposau1Lz4aWFWURwJzvGZsNoVuN7aTKopAgi7x+eT/akkV6oG42A64dTnBPNOX/vfmmRnjpZFE0BAMj9UkPE+FB4/v3DskslLSVRSDGVnvcyO4Ny5hQLvxnL74YNauKRwpVPZGiDQ1StKLt8AHXchxbP9N+0FZVKffpaEt/bDsiqAq6T38H710orEL9G+kdKDWCgVWVYyLU14u8NRATf7VPpnxXWZ23b5UIu04GS16RiSzKLZRKQJuxUdataEqxgW3tsavEKzbvquUaxVncVvKK1vcdwL//LbarquBb37J/S4wVzZpZ5FtPh1cyRJUKn5DnLqQgTxyLzzdGZJHWv0ejsLFFdHC5ksPKSm5RS6scI9TWynlNY6NwsYAki35xz4W0an3QiXs9zrkH/Z2nLz+Kf/7xDUMI0NEBp54qCt4Y17erSpI46Qa4p4JkmUVfwLnBOFm0k0PtPMqLum1VRQAzZkgL0frNHlrb5KWhssOpIj8fjjxSbHd3J1ltVsmieCucxgq4g54+uQSQDWURxA74E5FFU6aYq6Ycfjg8/7w4toMPlg3kk0+KClIGXBrTH/YnHaz3KS+noywCOPdcuf23v6X8tljoSiiQZFGfOI6Koq4YErK4UBBEqWcWZUdZ5HDE/p4pKYt2wMHyaMLehpb6dalDJYteegmZWQRjqywaSI8scjpjSeYFC8TzqcCkLOpPMLj0fS4DbpNUQlOhTyoAWXUwmbIoPIi/p53AkLi3TcqinDzwCKZ8ivs1Jk0SA8O3306yOJAMA0lsaBpUZVHGbWiGsiiFgOtQFsmi2kONVdSpOTL4LqmyKCImKXbKIrUyn6EsGqYNzecT1YRiFkJAZhYVTiIwmBuT3fPvfwPF20FFNGXg3xcaIVkEMPEoHJNP4Ku7Cf9ZIODghRdGcoAWmDKLUlMWgVjZ18cxr75qvn8MqDa0HU1ZO9hLU5skR+sm5tvuVqm0YZ0d6Y9tRwTrmGLdrUJl5F2XViU0FboVLRqFF1+0vDjzO3J7zU0pHF+HHP9gIYtAzh9sJsuHHirVOU8+mYXq4hpJOhB00+ONzaNauUULDYxH8Ctk0e//8SUiWhf6/e/HWsp1HHoouN1ix6c+PJpIv4Us8prJItP9l+uhuECQNWMWcK2RRV2+Cvr9gojcf3/5O5nJon3k9gjIotY2yUbV1cvBT06OsMMCbNgAr78ON94lxi/u/AH+fMZ3ATFeP/vMIT791LzAdf/9Qr399NPaE7q6KNie+bbKLrNo3IY2jp0ZurKo2OUlP3coJtxaR+MsaSFat7mCllZ5k6vscDpI2Yqm5pwks6HleejukZOq7UFZ5HTCt78tGrkzzxTfVSeIXC5JmnV0WJQ9ppBrZYJkAzUkvLSwF5ypT8pPOknmVfz73yPouCzKomgUur0aWVTcJXKUFHhUsiilzKIBU2ZRUfq8Q1yoEziHIzZ0uK5OTuqNlbUdbbA8yogJuM4tFgHVaWL33eXE7JVXIFo0w1CsjKmyKE2yCMxWNEg93BrAXSjPXSCQgCyyCbdORVkUEzoPye1HA5vpUmT2JrII5IAtMsS+e4q2u78fVq5M/LEJoSuLHLnc93AVf/yjUulHQVZtaHpmUarKIs2GVlWVeMKeNhwOmH0JAEWuAaOSU6rKoqQ2NH2C2vR02vlg0ahY7f3pT0UfYzqmIZ+sMFY01fZ4778fc8j1mJFFsp3vC8lVg2HZ0HQsvp5jFktf0BMPZnAl2mRDK02ZLErJirYjh7h2fWBk7ZSX9ONy2e9WVS3b2Y7RnvPp59RZCA5tUr3539DzUVqV0FTEzS0CmHyinOxufQQGkqStBzvY2pkiWWRhg4qL5cLPli2i2EFGoZFFTd1SbaqO01foFdHiEfwaWdTUO41/3CfGsh4PfOc79ruDUPseqhXhaO6ZwPKPLcpp33r7SqEAeSUUu0R77fWmUA41GzAqoTUYT82cKReOVq9WFqLzy6FkjtjuWmb0IemipV2unNfVmYO3VCvaySdDOCzOy8+Ou5opVUpOUuFk6urgwQeFFU0XBbS0CLvj+eeDN1dWQ824FU1XFuUWQZ42J9mR28YMYJws2smhT+hkJbRK2/0aZ8lVmHXbamhtl4/raofX0H3lK3ICbrvyqCMlG5o2qcn1mKrtjJayKFHANcD11wtC5+67zSojMJNmjz2mvJBGRTQTWeTulQ1YCigsFIN6EBO5hNVQEsFEFvXg92MEpFYUdYkcJgWeIjHDCw65GAqOnbIIzL/nrFnmiTOI61QfoI0ri1JDjLJoGBY0ELLoL4nCGLS1waef5Rrl4PGuGbssE5UscqdGFqkV0SD1vCIAl1t2x/6BRGSRGm49i0gEPvhAPJw40awcUaFe8waJkMyGpljQwDIYBnNu0UIZSjOi3CKNOH9ny5GcfkYOl10Gt94au1uq9ptUYbKh6dXQkmUWhQfp9ebT3CMmMBlVFemYIL0QDbWin9i2DYYSOWhSzCxqDmoSS/82eH5/6FJKSyfBbbfJ8OZQSF6DgDmvqHCqyYKmY/lyWN2qyN22A7KoNyhvnmEriwCKpnDoafvizhdJv08+5SASzpAVxWRDK0vrPkhqRXPmi8qPsMP1f9HO9wyyaEKtDbusobJaKh86O0dxChQJQ1AbkJfNhy89ahozDVdZtP/+GMTYc89ZOBxnPsw4X2xHw7DutsQfNthpUhaZAq5Bzh+iYdswaT23CLIQ7K6RQKpN7tBDpa1qxWatLbELuR7yGossf37xVwwOijnNhRcmX3D+6jHyGnni9UXmF32fx1cW5XnwuMS8xdef5essGqdt0TKLNrY3GE81NMgFpWhUC5vWUaXlFkVD0KU26KmjpV0sGuc5BymvNi8gq+MhPepkxqQ2fnjUdeYPKZTX4GmnCeLxK1+RL99xB+x65lW88qkWypppK5puN3QpcmOX8uMOjiuLxrETIRqVZJGRKVI83XbfGY2SEFq/rY6WdtmJ1dTl2r0lKSoqREcGIrh29eo4O6aTWZTnobtbPp0tskhdsXC740/AVFgJCB1HHx2HNEuDLIqxoaWhLAJzdtKdd6b1VgmLsihGWZJjTxYB+PpSmPCPEllktaDp0AdGbX01DIVyd7jB8mgjVlk0PLII4JBD5Lawomk3YGQIfDYzzdGAWhFEURY5HPGVhlZlUTpkkdst1ZyBQAI1p6US2tq1sn2IZ0ED8+TXUBYlsx8p4dZgoyxSK6LNkvKmYecWRYYMRd/jy080nn722dhddWVRUVF8G0E6qKyUpZNTroYW8mYn3FqFIn+fWi0IzEgEtm6N9wYSkkUmG5rrTCjTJlnBdnjxIGj7X9JDWrMGLr3U/Jypf08Qbq3aIe97Ws0nGyPLaUBK1PoGJdsyIrIIcC+8mMMWiXrmrd2VvP9oohWzNKCq3VIMuNax224iWw2EitPWiqarz1NR1mbcazR89G761LDL1k+MX0qsqkau5nV0DW9sOywMdgHa+SqoholHw8HPGuPf4SqL3G652LJli804e+ZSkRsGgiyKJGCZAyna0MDWijNSsmj5crHwqo4tDGgkkJEpiSA+5mhimFVNcxkM5dmTRT2iFHB3fxm3/FcwpgUF8IMfJD8mNbfoyXcPkNd8JAR9q01kkal/zPUYyqIBf645giKTWPELeKAYVl0X+5q2GLSpY6rx1NSpZvVxpnOLWjrFwL22tJWcAvOY0G489JfffGYUwwHAVQNO84r7hAkiB+u22+S8YOPWEg6++hV+cPef8LdmsGpuOGjEbBh5RWBRFo2TRePYieD1yuwIoxJa2QLbfcvKoNIj9lnXPIXWTtHpVhZ3kOce/kj8mGPkdlx1UbLMomhEroDnlRjKooIC4kqNR4r6ejmoXrAgtrpQOqislKTZmjXw2WfaCy5l1B5IQ1mURsC1jj33lNWQXn9dHEfayC+T2zFkUY8ov6nAUyQHJd6+FHrK0AD9Qfm9MjEB1HHggYIMcjjgrLPs99EHRtFojlihtEhNe3vhppssKzFfYGRKWQRJQq57x8iKpiiLooqyaPLk+O2OShY5HLFKo0RwFcqJi9+fiCxSJE6emabBXjwLGlhsaHrwcTIbWhrKooV1Lxn37LCVRYFW9AnVCx/tZzz95psYGRM69IluJixoIAh9fbItbWhJMouyGW5tHFi+0Uc2VEnWJaEVLdVqaB2FcNgrckV5qA9ePgK2PU08DA2JNtRaHttMFikHV9xgIot+8hPZn97/kIdogXZAba8N2/owIiikSG9AkkUjsqEBOPM55hRpmXnivnUQyIB9QbXZ5JltaDH3pwVWK9ojj9jspBMCQz2JiYW1t8CD5aLC13aAps+lxap+UvzBQ3FZEXlOsZDV2W2fa5QVqOMJ/RzXfAkOfRnc9bT0yvFgOmQRJLGiFU6CSceJ7UALbLH70eUxqsqdWGVR4mp506fLhda338Z0bSZDICC+xw9+INqIGGgLxk098p6aOFGSz6FwHp81zbEn+DXF5I3PfRffgOi8zz03tfM8cSLs1ij63A82LKZp5buw7Efw6CTo/djoH0tLIU/lKPMkWQSx7WVGMNgNn14j2vvP/hT7eiixsggsitARkkXhMLR1i46mrqwlpjru/PnmDMdjj4WjTrVUACmcjB0cDmE/W7FCkqMA1z/zA3Y/81KTFX9EUBYPTMqivBJpHR23oY1jZ4JtaevS+LOXxgliJX1Lx0S2tYmbvLa0NW0ViwqVLIqbW6ROMu2URSGllEiuVBZlS1UEomG6+24xKL7xxpF/nmpFM0izYdrQ0g24BvF91KDrv/89rbcLJFAWlXti7SzFhZIg8valIMFXlEWFhZGUg4FTgccj1G1NTTJDyoqYkGvLyuoVV8B3vytUMKoV8osK/fd35oQ0AnP4ZNGuu8pVuVdegYhHkfaNleJAJ4tyi+nskyR1PAsaiBUwlWROJ3fLXaSSRQnYaT1bpqAKCipMg6REyiJzZpE2Ex6KvW9N8G1IrCwqngE5YhUwr/8j9tpLPL15cxLlSzxo7WB3fxnvr5be3+5uWKVwhqGQvP4yYUHToRNPrb21YgE5WWaRklcEWSKLwFB7TK2QLH/CkOtwbMC1/vvX1EiyprkZ0a4f8hzUaxXywn547TjYeL/tR199Nbz7rtjWVSpgWYCwKItUG9oBB8jB/urVDj7s/7b8u63ZqLmdBGpmUUD2cSNVFgF89fQ5xvYT7x0GH9nNgtOERVmk29DKy82VjuIhqRVNDblOtIK+6jpBpn7829SC4LOJQDvNTZJgr58Qf2rjyC+hyiMmex09sZWBswY7sgigYnc4dgOtpRcbT2WULAKYeZHcXpsg6FoJuC4vj8T2X0nIIpDqokgEnnkm/p+y4pNPJLlkW7XXRlmkkkWghVzbEfzdy+kPFHLDM6K6pNMJl12W+rEd8yWZifOva/8Dn11n5NroyqIYVV+umSzyDq+GQGJsfVwSuv6mWLLdRlnU0CAIPX3By6QsKp0rbagdb6atHOzogEhE3Ht1pbFkkdst1UUFBfDnPwPuOihRSkrHIYt0TJsmFhT/9CeManOfbWlgyZIoP/+5fb5hKvD74aGH4D//HpRf263ciA6HtGGOK4vGsTPBtrS1YhuwYsYEmQA/OCQocsEOD98PNGuWLC3/xhuW0p46ktnQ1OcUG1q2wq11HHoo3HVX4glYqjjuOLlt5BYN04Y2HGURiPBtfTD5z38Oo2KRJbPIpCzyxPaEnmL5B7zeFMkiLeC6uDjz8na3O/EgTJVcb+ueaJpERKPw6KNiu6cnSQbXFwT6vVxe1C0mnyNQFuXkwEEHie3ubvhos5IMPRbKomhUkkWFk1i7TpI3icgih0MQsSefDH/9a3p/0uWWy5KBONV/CfWLfBmwrYQWz2IJFrIoqA0IR6osynHKUEzvWvZbIu952wF/Mmh5RS99cogx6NTx+utyu7NTjmMzpSwCWREtMOQWxHUyG9poKIvAIIsayiVxOlxlUW6uJNj03Ahyi+BLj8MUjUmIhuDN04V6RMHbb8Nvfyu2nU4RPjpZG9uvXq3MLSyZRbqyqKBAEKp6hh7A/W8pD7YlqoSRJag2NOV8jVhZhCCO99hdzF4+2ryIze88B+3D9WhqMAVcSxtaqsHqu+8uJlwgJl3t7ZYd1CIo8azY0Sj4tfYxGoKWTJZ7GwaUvCJIEhuQV2osnnb2FI2ek049ly4Lw+0sECo/DemSRfPny/e8/DLERETWHiLb6bbXoMe+AkFUsaFNnGizYJECWWSybaVhRVOLIqxfH6skNcgiRfk0YYKZLFqxede4ZNHtL59Pp08c/2mnyXsgFZxxrMxTu/3l88U1k5NHqP5kegbEuDimb8wrMTKLIEsV0TY/aH48sNn82BJwnZcn7o28PEnarF2rLH46cmRVtECrWSGaAlrkFFKQRTYLiLfcAqefLq4NY7Gh5iC5QxKyCMR48Qc/gOW3fpc9povVsnDYwW9+A/vsk3q4ejQq5qUXXCDun699DU45bwZ/elrzWKvKIpBk0Xhm0Th2JsRkihRONluJLGicFGtgry1pHRYxoUJXF0UiStlDFbkKGWVLFskGN+QoMxrdbCqLMo0ZM6Q89623NAvFSAKuh/Gb1NTI36K5Ob1VHyBxZlFJf8zunmKpLPKlQhaFBgxlUXEGK6GlihhlUbBThFIiVs2blZ/ogQdG+eCSYM0aUeluuKsqcdG/CbY8bCgVVOhkkaFaHIGyCCy5Re9Ok5XVesdAWTTUA2FNN55iJTQdRxwhro99903vT7qLJFnkD8TpmtUQYM8sQiFYtkw8nD49sQ0lN1cQpgB9fl1ZNMLMIpBWtGiYfRdJOdGwrGhaO/jCx4fFvKSSReoEN5NkUUzIdRpkUZF70CBOMg5tktZQtdF4KhWySM+mcjrlbw9yYtnSohA8znzY9z4ZiEsU3rsQPrkGolF8PrHgoGdvXHUV7LWXXAzq7lZsJwpZFC2cbJBF06aJgf5JJ8mFi/ufbiSCllHRlI2a20mgBlwPyDYsE8oigGOPl1anJ5d/Fd67aGSh/cZk2MFQtNgYG6SqsEtqRUuBEBDto9InNMW3LY4Kusxk0YQJCfbNK6HSI/qswGB+duxBdoinLNKgT7Tz8tIf2zocUl00MGBD1DscFnWR/UpGR0eUwZC4FydNGh5ZtO++ciH32WeTBPErWLFCbvv95vEWYKjX1GpoEyaYrd4rNu8a22aHBxnsXMN1T//QeMrW5pYAs/ZayEFzhepxTfNsXos+DCc00z3/AaJRcZ5iyFqLDS3jZNFgL7RYZGS+DebHloDrKVNkLp+6sKSPIYARWdFMZFF5Z0w0BQgL3L33wmFqF193qNz2JBlgKZi7sJQ3f7Evvzrp5+TmijnG8uXiu/3hD8TNidq8WSx6zJ4tIkJuv928IP/7Jy/HP+gyZxaBzC0K9duOiXdmjJNFOzFibGhx8op0NE7pjnmurqzFTOYMA6oFy9aK5siRf8Nu8qKsfvcE5Gg+28qiTENXF0Wj2opLnkd+b21FPR5iAq6H+ZuoVrS0g67zSgBtADHYbQoaryiNHXF5iiVBlJIEV7GhFXtGv9SoSVnUNRGIGuWfX3rJvO9zz20/VjSvF5YsEatlP/tZBj+46Rl4ci787yRY+WvTS0ND8jc1VIsjUBaBJbfo1Two0pad+j6LX+0jW1AroaVJFg0XrkI5qQwE4lz/lnDrVavEwBoS5xUZb9F+IiPgOlE1tMFuGOqhq18yRLZkVJnMLdpnlhx1DivkWiOLnv/4cEBMnHS5vEo+qcG82bChgZZblMSGFvD52NAmlqjnTO8eUbZdQmhKhKlVkoRJbEMzK4tKSsy5ezpZNDiIqR0nxwl73QpzL5fPffRT+PDHXPqDqGEn23tv2dboZBEoVrQB7eBcoliGfo3qK8lVVXC4+InZvDmHtzq1+tUDW40w2lGDakMbkOqOTJFFJiv+smOg5yNYk8AKlAz6ZDivlA6lmleqyiJIYkVTVS/xQq4HLOOVpqfHNuw6HWVRfilVxZLosFW7ZwPquUxAFtXWygl9OkhqRZt2tlxk3HC37cLsthYZLBwTbg0pkUW5udLq39OTej+wwnLbq30uEKMsqqwUfcPEiVBeJsjXFVtslEV9q7jntVPY2iWY/GOPjS1EkRT1h3PBD2W2zm3/PQEKKhOHy+d5KC7Iog1t2+MQsawO9lvIopCPnv5SY3FoqnSjZSXk2kQWVaZhTZ10Isz6Lkz9urhOU0XpPPJyQ/z8xN/w9v33Gwvyg4Nw+eVCra73Wf39wily6KHCinfVVeZrrKhIFi5p66vlH69900ZZlDjgfWfGOFm0E8Ok/CjqSk4WTY3tPGpLR64sWrJErkg/80wc9YNuRUuiLOrxy4HMjqQsgiS5Rekoi4ZpQwPRiesDqSeeiFMNJR4cOdLPHKMsig0mVa1kqXSUocGgUc2kuHj0yaIYZREYE4mXLVEaQ0OKnXCM8frr8l6/5ZYMDUo2/RteO9aYdNJhHvHZ5qGNkCyaO1fagF57DUJFGgkRHjBXJhsNqGSRe3TIIneRHKj7A3ECu/oUsqhkVsp5RToMssivkc1hf3yVg0/IQVQbmr2ySI68KxzLjQHb8uXDCPX0N7GhrYH1rSKvaMkSQUwAbNggSsaDud3Khg0NdLLIm5CoXLMmh0hU/FZzG7MRSqFBswaVFHopLxNL9QmVRaFYskiFqSJai/k1HA7Y7VpYeI3x1OP3fMbtd4g2ubBQ5PnpyqBZSj7p6tWI1W29Pysyh1urGUcmK9q735APMmVF87dC038hnERuqU/i80ro7ZP3XSZsaAALF0qr3kufHoIvUAQrrkra58eFTmDml6ZVCU3F4sViwgSibzMFEadiQ7MubgVaoHuMKj9Eo9D1vklxkpAscrqoLOkxHqYTwjwimJRFZoY7HJZtWq1lfpoqVKWGLVmUXwoNZ4rtkA8+v8v8eniQra1lxsPhkkWQvhUtGoWPPjI/t26dZaehXqJRqSzS1WMOB+w6X9zjTd0T6Ww3y0nCHR/yuyeklOiKK5Ifjx1OOGOisVjy4IOCZDQV+bAupORmWVlktaAB+DaaH4d8MeHWOuKSRZV7YywKp2mZVfuS2spYt0Fc5Dhhj/+D/f4lrtNUoRTYWDzpJT74AH70I7kw8vrrwqZ48sligeQb3xALvyqvfcghIpajpcVMnP/xqR8RyrMoiwqUH3mcLBrHzoKYzKIE4dYAM6bGjuzrytqMANPhIjcXjjpKbHu98OqrNjslJIvkc90D8mbd0ZRFe+0lBwLPPadNpHSyKOQ1B3lbkCmyKDdXNJggMovuuSfND9CtaEM9dHXKSVRFmdUkb8lI8SUnf/qVrz/WZJHhiw92EIlIskhd8dterGiqPcfnExLfEWHdbfDG182VcCyThhiLK0DuyJbiHQ6pLvJ64YOmw+WLo21Fi6MsyskxT3gzCVehklkUjEMWmSqhzUq5EprxFoMsKpQDpnjqIo0sStmGBtD7iWG/C4VIv0KJv9lkQTv8cNhPFkUz1EWjZkMjat8naVi1RvaNc2dlUZauTNKmThC/19atCXLnIuaAaytZZKqIZiWLdMz7Cex5C629tXzrjjuMp6//05CJMFWVRatXheB/X5NPVO9rIov0lVsQSltdNfbAs/MIhbVrftswam6riEZh/d/giUZ45ShY9v3E++uZRQU1ZgVvhpRFDoecPA+GCnh+5eGiv1/2w8RvjAc9TDqvzHQfpKOwU61o4bDFipYKIaDnpqnIohUtGBTjli9/2eZ6HdgKgdbUlUVAVakkdkdNWZTAhiaCgcV2unlFOmprZQ7NsmU2WVQAs74jt9febJ41D3bKRTJsKqFBymTRkUfKsdJTTyU9dFpbY0k7O7Kow1tl2OTU49t1gfweK1ebV5EffijC2hbBaB+0bxf77JP8eOzgcsmx8+CgIMyTKYs87ixlFg31QfOzYtup+IttlEXWcGsdc+bIisMmsii/VPbpPR8lnJdY0doif4e6qlHwd5YqhVB6PsHlEvazV1+V47SBAUHuqee/sRF+8xux4PLii3D22VBcDLvtBl/eU7CWn7fN4MFnLIM9E1n0xaqINk4W7cSImdAlURZV1zjwuMwD49qK3pHVjddgq6pRoZNFIV/sSq5qQxuQs5UdTVmUkyMl6X6/aKRwpZZbFGtDG77a65xz5PbPfw6/+IX58xNCJ4sGu+nqkr9TeWns6q1Hccp5vcmbGp9P7pNOFalMwe2Wk2Fj0BRoN1XpOPpouUr83HMWC8cYwZoNc/PNI3AEfHotvLsUvXy5gYBZgmZaUcuQsggsVrSVyqhutEOuFbIoqiiLpk6F/CxVW3YXynbWH4xT1shkQ2s0yBiHQwTXJoNOFg2F8ggOaURHErJIVxYVFsrJvQnF0+SAtfdjW3InZfibDAsaCLJo//3lyzoxOmo2NEiYW7RqrWzk5s4ZQQ5NMijWoIYJotEJhUR1R1uE/AyFcvEPitlAIrIoJhtEQbRxKd966APatXNx7O6P8a3Gr5omECYb2nsfQ7dmRfTMhAW/MFVCU4nWkhJZOamt3ckrm7WOqfNdoQoaDvzN8Oox8M63aO9y8b/P9ifc/Hr8/SNDUqnjqs4KWQQWK9pHGpm26T7oWmb/hngIByCiLcwo4daQnrIIEljRVNVLPBuanW0+i2TRjTcKC8nzzwv1rAldohHUySKPJ/n4obJMKqFHT1kU34Zmsu8MkywCaUWLRrXxpRVlC6D6ALHdt8ocTB40k0X2yqLUJsuVlUIVCqKKpUoY20ENt9YRSxb1mdRjJrJooVxoWbFWSrOiUbjmb7JDuuKKFMoFJsD558vt225LRhaVmGxoGSWLtj0p24FpZ2MogWwyi/RwazDb0HJzBTkCQrWrzhcNK1o0DJ0qk5QYLS1S1VVXMwqZPnkeKNK+VO8nxsD3gAOEUu3b35a7lpSI3+/114Vd+sorzedDx09OkaWir72+yjyWVu/bL1jI9ThZtBPDZBXx9MpqCHHgyC+hsc7cQtdWZKaFO+IIkT8Bwv4UM5k1wnGjsUy2YkPr7pcSxR2NLAKbqmgphlyryqKRkkWzZkmlV38//PrXYhB/3XUy/yQu9ID0aJiuDqk8qSiLTTH0lMjJr68/BbJI2ad4ZDFZw4Y+QGrqnkAk4oBguymv6NBD5SA7FJIV0sYKg4Pwzjvm51auHMYkPRqFD38i/umYexlUaHIVJewbbCyukBGyyBRy/Z4snU7f2CmL2vobDGtftixoYA4gDiQji9wTCYaLDOn+7NmpTW7VfYzcongh1xZlka2qCIQ9tUQrA+Zbz757S5VhurlFYV8rL34iwi5LS4VdZskSuV6hX9ejZkODhLlFq9aXGdtz52ZRDalM4Bvq5JePm1sU9svflzRtaApuuw2efFHMympKW7n9W+fjaH0OXjpcZFohyPMCjXdcvVZjUp1u2P9ByCuJa0MDsxXttlcv0baiwyMeNv0bnppPy6fvc+k91zH1e5v40m/+xw9vvSj+eyzWIL2fdbvleCUTOPhgSWA8teJ40bcAdKU+EQPMJerzhm9DA6FE1JUGL72kTHzVzKJ4NjQ1syhH+8073oZA5pkXnw9+9zv5eJmVX+s0k0UJw601VJXLiWxnxyhlLenXmsMZU2gm02QRxLGiAcy+RG5/9ifT8amVxmzJImeBHKsnUVaoVrRk6iJrXhFYyKJoBIa8MZXQdOy6SCGL1skDf+7ZCMvXCVXR4hkrOPzokTHAc+YIIgIECaZGEcRWCi2g2C0H1BnNLNqssLsNp0Oh9p1jlEXeuDY0MKuRP/hAeWGYuUUtzSpZlMXFExW6DT7kNcUVFBeLirTvvCN+p5YW0Z/tt19i/cNBs59hz+nvAvDhRznm+yhfJUvHyaJx7CTo7FBsQnUVotpJIuR6mFGz3vRUXWVmyKKSElkae9Mmm9KGeUojbpX9q8qifrnfjmZDA0E26NLPJ56ASEF6ZFFhQT+5zvCIc6TuvRcuukjmTnR2Cq/vzJmiMkBce4NSEU23oeU6h2xL3XuUkGqvL46tRkH/gNxnrMgifbVqMFRAh7cKPrmal/8tfZMHF5zFKUseMh6PtRVt2TJZZl2dLNx8c5oftPJXQlWkY+H/g0XXgkufiUdNKykmZZEnM9XQQNhU9EHq6++UMBjSBoEpKov+8x844YRh2J+sUMiitdvk4DObZJGq2vEHbWaqwS45QCmZxcqVstJMKnlFYLGGJgu59n1ONCqVRYkqrcmKaBFm1q4yrsU337QpgRwPkRAfrqmnS/t7hxwi2qeyMhlI+uGHYtA9XPtNMsTa0EisLNog/niuc4gZM7MkOQOzDa1aXptxc4vCflMZ+OHY0NasgUsvlY//dmMHNVWagrTjLXjhQPC34HTCzOmiEVrX2ijsZHv+FcpFTWuVLLKWqz7qKElC/uf5BTz+gSbBaUrDihbshNdPo/nJ7/P9v13FtO9v4M//vdRQVb3y8T5GhlMMVMWkoizKpKoIxL2tB3q3dRbx7vq9xIN0c4tU4jJ/+DY0EBOmr2kip3BYWfhIyYamkEWTT9I2otIak0HceKNZwWHNtqHzPbz+Ynxae5bMggZQWS4XtzraRzip7fkEXj0W1t2ReD/9XBZUykqfGjJFFu23n1x0eO65OArjScdDUYPYbn5GHL92fEmVRSCvjyRkka4ahOS5RSpZpI9J161Tjn/IC0S1wiMCqrJo3nwHDofoaFZskF7Xa66WCxdXnP10RgoQXHCB3Fa/VwxZ63DgKZbXVsaURUNekcUGolpX1X7y9wx2mhd/LDY0q5ImtZDr1Fd89Ou4qMBHcUkW+0MVFhu8FXvtJZwt6mJcIjgCLfzkWMlOX6sMi8dtaOPYKdHVLgdI5ZNSqOmb56GxVtL5DkeEan1wmAGoUuwYK1oiskjNLPLJ2c6OqCxyu+XqT1sbvLN6V/liCja0UrfGGo2wQl1ZGdx0kwgkPfNMybRv2yY6w112EaXYYyZ6ClnU3SP+ryjqwpEb2xIXe2Tz4u1PLv/1Dch9xlpZBCK3KOxr4tWPxG9UWdzB/OJ72St4MlMmi0HACy+MYuaBDdS8oquuwhTAmHJ4+bYn4eNfaQ8csOfNMO8KcVG4lNmzYknIRsA1iD+pq4v8fgfvbNUajd5Pk3rrIhFx7T76qJAYjwh+bULudLF2o2ybRk1ZNGhzv5jyimamnVcEFrLIn1xZNBAsNDIi4iqLwFQRzaHkFnV3a6HHqSDQxvMrzXlFOnQrWiQCb789yjY0a3UdDeEwrNkiCKWZtWvJK8www6BCtaFVbTS2UyWLPJZbM5kNbWgIzjpLBpQvXQpfPXMeHPaKVDn1rITn94eelcwuF4T6UDifTYWXw3QZWK3b0OrqYu1Bbjf8SRE3LL3zdjq9FdD8HIRjc/BisO1pmu4+lO/9dgnTf/A5NzzzfaNIgo62vhoIxOlbTdYgmVmUqXBrFSYr2nLdj54mWaQSlyNUFkEcK1puscypTCXgeoZSYjXDVrS+PpFBomLzZqX/iUag6/208ooAqirlJL6zfYRj3He+JULZ378oflsKsv+0qYTWqrguR0IWuVxw4IFie9s2oX6JQU4uzP6+fLz6z+J/hSwqdA/Fvwf0CfNgV8Lw//nzRal2gFdeSUyW6GSR0ymVO/39ynnR2uB4NrSiIphRtxmAjzfNJBwWCxWvvi7agtn1n3HCsZmxRZ10kv3cw24xpbhIjlkyRhZte0pa0CafKMKhixUWvn+j3FZsaE5nbA7V4sVy20QWlcyCfK3D73gr5VyDllax4FtX1mKe02UTKlnUY1UhpIlwAIZ6OW7xY8yaJK6nl1+Gd9/VXh+vhjaOnRFdnaJD9Lj6yK/eJcneQJ7Zhlbl6SC3wC6kYngwDZasBU9MZJGlw1VtaH1ytLkjKovAkt/0imINjDegRSqLSgt1sigzoT7Tp4ugvo8+Mh/X2rWiFPsee8B//6v0FaqyqFuoHyqKu8AZe514SqRSyOtLQhZFQvj88jPGWlkEsLVrCh9u2o2eAfGdD97lZXJyojgcUU45TGjhx9qKptrNDj0UzjtPbA8Nwd/+lsIHeNfBm2fKx4uugZkXysemyjhyhh4Tng8ZURaBJbdojebbHOqBQOIcE69XlOoFWTVr2NCVRe5JrF0nlyOzSRbpVh4Af9CmqIAl3DrdSmgQT1lkM8GJhKB/k6kSWmJlkVKLuPeT4eUW2eQV6bDmFulkUWmp+byNFIWFsu1p602cWbRhAwQHxerp3Imrsjs4Vu7DqRXyOkhkQ0ukLEpmQ7v6ajlAnjlTWJQBKF8Eh78Ohdos0Lce/ruI2dVyprE6/xfG9sCA/Px4wfBnny0tKy09tVxy11+E2q3NrhKGhiEv2564jIvPXc/0i97mL89+zyCJ3O4oP/whzJoiLpJ2bzXR/jjhTgoBHi3InrIIhNJCX5R5YplOFsULnYoDlbi0ZBYNhzTdc0+pNnjxRa1ddzgkOZkss8hVAzUHymu/+RmTXXmkuP56SQypxSUMJYp3PQz1pk0WVVbIyW9H+wiOt+cT6HxbbEeG4lftDA2Iqp4QUwkNMqcsghStaDPOlZVtN9wtMsKUzKJJ9cH4Khx9whyNJFRdmoLdB8XCmh2GhuBTzWU+e7a5rL1RhVS77lUbmpX42HW6kDD6Bwv5fH2Ua2QxR358zLXkVC6Ke6zpwO0WbZYVdmStOo7NGFm0RbGgTdHY3iKFLFJzixRl0aRJUrWlY9YseYwmssiRA1VaZmSwQ7TzSRAMQneP+AN1pS0ZWTxMCWXmsceIoI0xnTkRLj9deicNddG4smgcOyM6u8RkPZVKaECMDa22pBWcmUsabmiABdphvPOOZZCqNiyhBDY0nyQUdkRlEYgOVO+IH3teGdkM2A8cIxHpdy5xa+cmQ2SRjgULhK/3zTflyhSI8tdHHSWee+MNDK/9UCgXb7+YKFUUdZkrMmjwlMqeyTeQJAAi7McXkD3rdqEsanyMlwtkD3rwqQcZ26csvMnYHisrWjQqlUXl5aL0/NKl8tq65RahfoiLUD+8doKcgEw+CeZebt4njrIoWwHXYCGLPlbk0H2JrWhq2PiI8gGG+qSaUamEBtklixwOcOWL1c/AYH7sap4p3FpWQnM6RXnuVKCSRQaZMGQzih3YInLJklVC0xGnIhqknls00NXG66sFKzR1Qo+pcpaVLNLtN5lUFenQ1UWtfYltaOqq/dwJn2W8TTYht9jIhmkol6un8ZVFAakcI5b88Hikks1KFr39Nvz2t2Lb6RQVM02KoJJZgjDSMxCjEWbVyWtz9TrJ3m1Q5i3xyCKHA269Vfbn/3rzDB5+74S4VdG2LHub7xz3KNNP/C03PncxwSExJigsjPCjH8GGDQ7++EdomCSyD0PhPHra4gzsFRtaf7jeUNJmgyyqrRWWCICVW3ZlU/uUESqLzDa04SiLklrRgh2x7VA0Io/bPQFy8qBOYygGu6DTEqI3THR3S9WZ0wmXK12TYUWzhFtDiplF1XLq09k5gsyi9ZYVmYE4qxSqCsFGWTTqZFGeBxo1P1VkENbeTF+n17DyTZqYwJqXYkU0SM2KtnatIJNAjEMblahCI7doMJYssv7Ou86QRN29dw8af29SxRbO2O9eqNgt4bGmAzXoWoetsqhYUdf3perHToAhn1TvuWpkWHkcZVFfn8OwdVvzikDcV3phjM2bLWr0NHOLTOq40lFUFpXMwQj4HilZpBRWOPPY1cY19sgjmkJ6PLNo5LjppptoaGjA5XKx9957866h27LHf/7zH+bMmYPL5WLBggU8/bRZvhqNRvn5z39OfX09brebww47jLXKqD0YDHLWWWdRUlLCrFmzeMFCW//hD3/g4osvztTX2+EQjUJXrxgNplIJDYA8DzPr5DmuL2uGvMzO2lV1kSn0LlUbWq8ki3ZUZVF1NcZkatXqAta2aL1jHGWROvE1bGgZJPFULFkiZJfPPGOurvS//4kJ2zEXn86KzQvo7pdMXXlRtz1ZVCLJIp1YiovQwHZBFpmURVsxhVsfclQ1VAjd7h5Vd9EwVeQeGCuyo4w1a2SWw377ybLuRx4pntu8WajCbBGNwjvnQ6828SyZA/v8PTb5z1QZR44kshVwDWKlW59YvrliOv5B7Z7vTRxyrZJFI1rFUwf8ClnkdNoPuDIJV764pvxDbjGIV9EnJ+QDzll8oo2L5s+XOWjJYAq41skEO2WRHm7dLxmihMqioimSLOn9mD32kAHBqSqLXn89aljeDt+/xXQpTpkiidy33pIKskyGW+vQP7PLV8lQKDduwLWJLJqyISaHJKNwOIx7sSxvg/E7DldZ5HDISak6UfX5hC1ZJ5mvukoSHCYUTYbDXjPaw9n10muo2g7VSmgq+WfFhAnwl7/Ix9++8xbaP33TRFRs2RDgopPfoHHv3bj5v2cZ10pR4RCXXxZlw4Yc/vAHGVJushRutbcSqjar3kFJOGTDhgY2VrS0M4tUZZG0oeXlxVoNU4VqRXvwQW1Db/ejoVgbZqBdPA+CLAKYKFmBwIbnUq+umgDXXScV1d/8Jpx4onztww+1jc5YsigVZVFpeT7OHPEdOjuHGWQTDsLGuwHo7i8Tl2o8pZjJ7phdZdEuu0gi5ZVXZKZhDGZdDA5tjLb2ZrZuljtOmpTgnKRBFh18sCSln3rKPr9OzSvaddc4ZJHFhpaXF7tQsOsseRL/37VyvHnZ0X8gv7BYqiEzgHnzMKlnS0rsA/HV3E6fNwOBz01PC6sUwCTNggYyswiksigaYVOL/K3ijV1UC7tpGq6SRe3JV3xM1/Bo2tByC6FY61x6P01ojUyKgPwSBaVV/OAHYjsaFQso0bxyDGJqvBpa+vj3v//NpZdeyi9+8QuWLVvGwoULOeKII2iLE5rx5ptv8vWvf53zzjuP5cuXc/zxx3P88cfzsZJ6/Pvf/56//OUv3HLLLbzzzjsUFRVxxBFHENBavttuu40PPviAt956iwsuuIDTTz+dqDaw2LBhA7fffjtXX311Jr7eDgmvF8IR0ZBUenpkecFEyCthYkUTZ+x3D0UFPpYeemvGSQnV6mSyoiUkixRlUZ9skXdUZRGYq6I9vkwbBcUZOKqV0DJtQ7ODwyGq1733nlDNzJolX3vy5QYW/fRDzrz5HuO5eDa03Px8XHkiN8s7kMQrsh0qizZuFCQZiAHc7NnAlFMAcY5OPkRY0cJhsfKQcWx5GJZfHrfCjJpXpCovLlKK/8QNul79F1G6GYRq4YBH7MkeVVkUjKMsymDAtQ5dXTQ45OSttdqgJUnItU4gAHi9I7AWKOHWUfdkY8A6bVpmKyTZwV0gCKLAoAvCllBe3YbmyOHDddONCX2qeUUQx4Zml7PRL1gI1YaWUFnkyIESzers24Ard8DIQ1BJzUR4/tUyY/vwg/tjXtevcbViYzbIIrUiWoe3KjVl0dSR+h5TgGYNcgx2MHWqGOts3hwnQDwJWQRyUt3ZKVf2L71UEjx77w0/+1mS4zn0Zdjtj8w66VfG02sUAVyiSmhWnHGG7Bfb+2r47s2XQe+nbN4MF57TxoxZOfz1wf0kSeQa4Mc/6GHDxjyu/b0j5lqoqZU26LamAfs/qrRpfUE5+8yGsggsZNGyY4TtIZ3JjUVZpN9X1dWJK/wkwl57yWyZF17QFgJMiwQWK5pKiLi11ZV6sUKxpXMSkw//HvX19hWuUkVHB9xwg9jOyxOk5fz50oomlUWihJOaZZMKWeTILzEUsR1dyYtv2GLb4xDs4JrHfkLV0g6+8vv/Eo2jDjdX3YuvLFJtsMOFwyHVRX5/ArK+aLIxniHYwdZPJcs7aXKCxb00yCK3Gw7TYuhaWoRS3YrUyCIxJ9CVRfX1ZlsiwIJZcrVoaEjcDFWedr518B1Qvtvwb5A4UNVF8VR9xcqCqW8kYxIdWx6U21O+pvwhVVmkkUVhP5s6JEFmVyYezE6CpUvhWT2jvnIvuQCSgrLIRBaNprIIZGZieMCc2ZQu1KgDVy0XXCAXDu65Bw4/wsmGbk3GPW5DSx9/+tOfOP/88znnnHPYZZdduOWWWygsLOTOO++03f+GG27gyCOP5LLLLmPu3Ln85je/Yffdd+fGG28EhKro+uuv58orr+S4445j11135a677qKpqYlHNZ3sqlWrOPbYY5k3bx7f+c53aG9vp0PrOS+88EKuvfZaSrLV4+8A6GyRE4CK8khqDaU22bvnorPoub2Mk/Z6OOOkxJ57ysH4c88pA//cFDOLekXj63Bkb0A3GjDlFn2YmCxSV+mkDS1FKcEIkJMjVh0/+URUSNOJlGg0h+c/llpnQRbZlBpwFlDsEhIPb38KZFFw7MkiVVn09NNSoXLIIdotNEUuw56y8P+M7Yxb0QId8MZpsOoPsPKXtruog0B1lesrX5EDg2eeMU/YAGj7Hyz/kXy8zz+gdA62SKIsyssdoqhAm9hn0KOuh1wDvPSJ9qDvs4Tv6e6UFW6GhpzGBDhtKGRRs28W/drXy6YFTYdJWaSSRdGotKEVTeO9ZZK1SjWvCNKohqadg5RtaKCEXEehb5XpmkzFivbCW6IIg8MR4ZBDYzPOVEJURzZtaKBVRIsTcK2SRbMb4mS7ZBL6JC0yRMMUsUo9OBinmlkoOVmkKhhaW0XRidtvF4+LisTg2JpxEYM8D8z9IRXzjzAmTPGURcnIIodDWGcrSsV1/8A7p/LV4/JpnBHiln/UMBQSE9hil5crzn+HjZtd/O5PZXGvgZp62Se1tcRpDJQ2rW9QzviypSxasEASMy9/ejB9/e70Jh2Kyi2aV2rY0IZjQdOhWtFCIa0ceCJCwEQWaSSNuw4qFnPz8xfR0VfOwIDIQhwufv972fd+61uiP3O7tQUbxJhkaAjoE2rTZq+8uFIhi8grNciizu5hVm1a/zceee94fvrANUSiTp5dcSRbNsQjJVMji0aqKtKRkhUNYK4sd7i1U564iVMSjNfSIIsguRXNShY1NEgiSFUWBYfyadeKDthZDac3DFFYYF5k+N4RN1BY4BdZaxnGySdLte2cOMOnIo/sp73eEdgdQeRebdPsGAVVIitMh3uiVIn5Nor/lXBriK8s+upXRT4piP7k+OM1RX2eR8aX9K5MHN6OxYZW1pLRxcOkyFTItV/pTF11lJSI/D4dL74I83/4Bjc8cwlhf3fs+3diJC9RlASDg4N88MEHXHHFFcZzOTk5HHbYYbz1lj0b+dZbb3GpWpMVOOKIIwwiaMOGDbS0tHCYTkkDpaWl7L333rz11lucdtppLFy4kLvvvhu/38+zzz5LfX09VVVV3HvvvbhcLk444YSkxx4MBgkGZcWNPm1W3gKoTY4LKAdCgN2QUG9iO4Ahy2tlgFv7PKsyNx+oBCKAXXRrDeAEugBrXRAPUAz4gR7La7lA1+bPgYVQBwWNRag0RBWQp73PtHadV0JRroeSkJdwnpP2/Gpwyw4kB9AXXVu141ZRARRo39O6LuxGnItwDhxyBtz3L/G3H3xDrDzUaxPN9oIqQpaVtrLIIG7AV1BNR54D6sBTCq054u9VAGHATsdWqx13J2AdLpYARdifwzzEeQKwo3CqEee5G7CqfIsRv08Q8dupcCJ+19mzYca+sP5z+F/3Hnwc3oXKnC4qw0HynQWmc7h+AKgDBoSyaCi3hA6L5cGh7QLiGrUKXssR17EPsDb5+vUd7xzW5YoB21fOhNv/upW/3OSmu1/rJXuFDWkgtxrrlCo/x4XH5aXDW02vxx1zHvXruxsIRAZpcdcaX8KpDdYD2usqchHnH8S9au2C9eu7F7AO3YoQv/sg4ppQkQPUlInVvYEi6HZiHM9uR4nfs6B4Gt7qA/F5VzNh0otM3nOILVvyeHGZyFEpr85QG9G/CfIryY8MUtn6km0b8cpqcdD5uTB9D+U6dcLXL4Xf/RSi/XDj3+AyvcMbaIH3v0NufhnVwQ6YeznNU07CCqONcNXgd2knITJknMPOTiAfyqb30eKuEwOVnIKMtBFDwC6HYpz7ZzuO5Duum6jXVn3sru8yoKfdB0Xl4uYD1voEwZF2GzHYI0rSAis7NFmdCyYsNrcF2WgjcidFIAQBrwvCHfIcBtqEAiy3mMqSuSLc6lI5xwAAqepJREFU2gMUQcM+8u8XAqWIc2gdxjtQyKIqaCqop9lVZ9xApjZiyAuuOjbkNojfISAGxnHbCMBROo/O/AoGc/LB+zlzD1kM9wK9giw67Fhi2whEH9jaBh/2TYE6mD95JUOT6mjG3EbMPgjZyAF4BbGT6TaiVC8cmgeronOoRS606Nd3NAqftEehzsHEyi30VdTRh7y+vdp5VDHicURBNf3OQvrySqiaOwAfiEbyo61i8mRqI3I9bHNNEOerTZBF1nGEZxbiZu6Hd1fCBT/FOL+/+AOUKiv8dte3dRwxbV/oeBeaIrDNCxM9sHaz/MzimeJzErYRdXD9Db2c/U03eOCpNTONm6zI5WXpwY/x06v2pGTa3nTYHJd+DtuB/MZi42+vC7rxI9oYUx8YjYCrjoJIkN6BMq0TAMcE82dnbBzhEOOff/wdhsjnpTUHc7y/iW5XTWptRDQKrjqc0TDuYIUgxGvEb6kebyXi3rJrZ+3aiINPhz/9C4iKqmjn7FktxmKOXJPSuxxw+Zvw5RbhzfWAR3oL8yacxD1vnGmcw1fXmI+pTnx923NYqh3XALC2Df7vQfGG/AK46CrtqwOzDoRV3eL9//u0h7mOPGocOTR7p4mbxGX+7fRxckwb4aqhZEovNEH/QB4bA2Ct5ZJwHNG/haYPNnH2394xtUnvNHsoQF7fbYg2k6F+o0+pcNWa2ohgELoLxPet0hYkRjrXWPBljON6ahlcTpy5RsVimHQCNdseE6qdcqAAChtzYs6hcX27JxnfJTfUb7Sz8dqIo49G/MBuePgt0CvP62Oxjz4Tx+opgdzJ0OmASYth83uCLGqJQjQaYsvgrsZ3qtMWw0zXd/EEZu/2GctXLYZeKCoJctJxD4o+rkqG6KlthN04IqaN0BAzjiiEu18QVv8zzhDnNqaN8NRTMNlPsNONzzfCuUbzCwTySoRip+FMyMmVbUSOk66KxWLcGB6AaBRn2G+EW1Mj218dehvhy4Fr74K+Inj6KXGvfPUMeObfsKR6Pzp0tU33R1Czf9y5xlqf9kI31Ja24ssvT3+uQWptRMw4onx3KhFtRIuNssg017C8Zmojwn7j2sY9iVzgO98RarfzfiYKpwxQyPefv4G715/JnfOH2HVe3rDmGjFthIKsjiOQc410oj1HTBZ1dHQQDoepVbXbQG1tLZ99Zr8S3NLSYrt/i0av6/8n2ufcc89lxYoV7LLLLlRVVfHAAw/Q3d3Nz3/+c1555RWuvPJK7r//fmbMmMGdd97JRGt0PnDNNdfwq1/9Kub5vyN+KB27AiciTu6tNt/nl9r/jwJbLa+dqL3/E8BaVHQGcBbiB7X73MsQF9yzgLX68BHAEuBz4D+W1+qB6Vu3AAvhW7Bx76mmz78IcfO8BixT35hbxP6Ve3NY6ws0u+v5x/RvQs2XjJdLAJ3iu5dY8uubQAPwLvC65bXdgWMRN2vkfIwJ3fV+2AhcpUkWH558Is2l5sptJ+eXMw9YWbkXLccBA+AoE+dsNvB1xI1udw6vQPyWTwPWPP+jgL2AtcDDltcmAd/Stu0+9xLEDf0yYFVbH6T92wLcY3mtQnsvwMSfwvr3IIqTq8p/y8KpH3FesJ3JhZN4C9Cp1rXlwFLgPShx9dFRNDnmmAq07wrwALGNyNcR52o58KLltV2AUxANiN13vRLRUDzvAi5ys/TA23hr7RLeXLuE3KdCHLf4MT5zX8Xjlvc15BXjcbeAE3rPLIz57EsR19TzwKf55bxz6D7iAgK2aiOQTcB9lvdVA9/Rtv9OLJG6FHEPvA68Z3ltCeLeaQWsxcIKgcsdQl209kjEj6Vh81fE79kIfDDz27ziFW3blCtb2LJsMpEVwor2tQsy1EbkFcHMpczwruesjfcwNNjDrVq4OIhV1w2HAx/CnrvBqy5zGxE6D5z/gfDrcOcrUBiC3JwwND8Fk0+k3t/MUu86WHg1dxDbWRlthKuWZTOXiic1K+v+aMqieoheALfOXCqUZQ5HxtqIR2uh8mfQ2QEf5OzGzVMv4jeb/wqIe9U6qDoZ6O4MwALEDwzcniM6x7TbiJJG0L7z0KeavHsmNB1jfn822gjv2YWwBvw3uyHk559og5BIwDim8yJREW69BHL2h9fny7ZiT+BoxEDBro3YTyeLToE39t2fopkDUC7CyUxtRPkiyCviNf+B4mb6VBBvCduI0vk8MfEYNhY3QH4Zvi8hbsbHhQruM7FpQgPimnj+JW1foGS2l1tdYkVTbSM+ngv5l8CgfsO/KMiiTLcR/btqG7Xwn0WnsLpGDqkKEROv5mbwHe2ACnDVBri14VQAzkRrI4BXLJ874nFEQTWflM3j6QlHsbUiKgYHwOMh+AqWcUTDabx58L4wGfiDIIus44jNX9EO8m1Yei10aeqSWbPBd5q4z7SfJHEbgRhHDJ0LaBmyj7fAhR5tArEUnLnwSI2YCCRrI75xdh0n3fYsD7mPgP0hPzfI3o3vsGTfHPabdBqVObm02ZxDJ6DxCjwMvLeny/gCzyxYyFdBjCMQ5wKAusOgYjdm928mb2u+GIkvhU/2N39+JscRPaciZmnAp627cLy/mZfLF6XWRlTuAc58KoJdHOPVOqhvQM9e5uM9D/HTq+MIHXZtRHR3KLkc+trgheugOzCRB6acQrurWlZGQ2sj/E0sL9+NF+sOhcq9jdfCA2eJaloeYCksy4WbwyLrDeQ44gnEmE/FsYj2/zPgomUQOFs8v9s+8H49zEdcf74zMGZZNw6G2HXmUi5d9SeRWXQ45C6Ef3mMVBEOBQ7Apo0onY//hH54Wzy8NRhLFiVqIxZufoOf/fkhfKUl4mRruGvyEjYg2giA+9GIPs8Mo/0+s3CiqY3oDWBcpw5NMD7iuUYl1P0SWprF4/t64bulceYai67hsuZnxW93BDAb3tpV/kYxc42yecZ3qXdPSNpGTJoEDd+AjeWiH7zOJ5Tj+wN79MDWkPj+ZVPgNu2Hc50HvCdU9bf1Q6RkLltmfts4T2XafqZxRPV+OL4NPAQ8Ad88/SX+vVCTzNSIIGhrG2E3johpIzTYjiMWQcUi+K/YjG0jag/BeWEEHgFf6wjnGr61rNDHYg1nAZY2YuZF0K/JyMMBKnLy2NjeIB5/A16fJ64FHaY2Ig92vxXWPQBrVoP/PVHY5l/3ncSymfr9L2j9eHONl2chfp/7hA1tuat22HONZG1EzDiici++CYQdTm4tnIQVprmG5TVTG1G+yLi28Uw3xhFHHAHfOgiefhHe0+KYP2BP9jgqyi8ugF2vgA8sPq2kcw1t22gjFGR1HIGca1jHRYkwYrJorJCXl8dNN91keu6cc87hkksuYfny5Tz66KN89NFH/P73v+eSSy7hoYceivmMK664wqRw6uvrY/LkyZyDwWUAYvwA4mJbSnwcjz2TB6IBmmx5TRe/5sX5XP3vHoFoEFToxzfd5r25wIvbtFv4DjikfNC0jx718yXEwMGAw0GRFiJb729m6dpboaAGasVfV++FM7BXDYAYOM2zvKYLwsuBq6fAI/8Qg/5tdXDu0Rj+1hO3PEworwzqDzfeW9Yjmrj5/VsZ/D8gBJMXwNLvS1LPZXMeQJxbEAM6uxVBgJk271WjSew+V3/vwYhGQYXuoJps817VHf+janhNu9uD7+Sz9Pxbqaz/ChROYgnipgZ49BP4160IZdGxvVSFgzGfq5oMT8FeWQRiLN9oeU2/zopsjlc95mOAwSiw8S9ckvcXBmfn4ZoUoDa/nYGw32C0deTj4A6XF8IQvjmX864w2xp0g+PhwAG+Dax+ZBvvviUGn7uLuRdTbY5JbbTOwV41AGIwsrvlNf1v1tp8rn59T5oEa++XX3ziJPjJL8RKDMDiqiXMXiaS75Z0t3HkrTdDAB7og3MvyFAb0fkerL2VfC3kOK/zXZbWS235068heoqAsKDFtBFFsGkm/Od16F0GtY/C12b+HNYLa3CuqxYOeR5yco2BigqjjXAWsOeGu4UE2jMTpp+DMyBKYtMMMx7ZwNKpt0LhJNjlxxlrI5YCG7bCXf8UZOrcnFXQ2AHRKCc6HLYrgt2dQTHK2yieO+40mFM2jDZi07+hRQxz/vDRZeLFtXBmv7jfre8jzucOp414+tEeWlaUEQrnERoM8A20c9j2OqwVjUXu1N8Iq08TLMiBi5RGRTenVtkckwNo0Q/qAZjRtp6l7lth0vEw6VhzG/H536B3Fase2oW33kIoi36ZpI0onccx257QlEXrYd/D+c8zsPkzeC8C0wdhqcXxoT986XkMpvTiH97NlxzCc2ZqI3LgfyvhlZe1J71QfVHm24hnQvBXgFZY8PQKlrrfhOnfAGQbsWoVYpTnhEMOeYmlu70P084yru/FiMmFihGPIwqqmNfzCZP7tzCx/3iev3WR+C5lwL6WccTaW1n98CTeeWsJBARZZG0jirfAyyvFdue7wBqorIIHX4Yqh/kcJmwjEOOI0Fb4UOvP8udBZAZsfQ/4FKbPgm9fKV5L2kY44O+/f5Op/7cSV2uAM454h/IDfwvlC2PaiHg4EZjc7+A+7XgaDl7D9JNE37IAY00C1t4Mgz0UuCfwSC/GTPDLM+BMxUaZyXHEm/3wqHZcHXtUgb859TZiyyPQ8gLOaJiNNdpC5z9hz1xYqkSY6H2VOo7QYdtGOKC5B27/u7B33fnoYuaWPoDL56e9qJc2h+gXp5wGDGxjt+7lNHrXiZBdDd+7U/MGaTPBMLDPUbJQhmkcYTkm3fVX0gTLvw0EweWGWy8Sk2n9/ecOwYvauavxtrF0v1spCvfT1FEBz8PELfDtn8nP1cfJMW3EUDfr3lzNChYBcNhW2MViPYzXRkQjES66pJxVTbtAHhTdG6HfJ67qyZs/5xtfOcDY9zQ0AqX5WdhwFwAVE0Uwl95GPPYKxqxv0Te182A9XguOJ/k4orMTbtQ+N3cecHKcuYZnJq7CyYIsWg68At/9rvz+MXONcFD2RVNOAU2ZnKiNOKkartOmaxNmw9e/Ltr2j1YiGJtb4ZBvymPbtAH06LPdV8HivBd44sUO7rxDMHONPxSvmcYRvo0saH6A0964n7q6QX6y79U4164XeZrzrow5thOxVxaBpY3QMKy5Rt+n3HnvDAY2FOFz5wx/rhHyc/Bnf2ZJNAwFFTBPXOSmNqJnBWy8Vzwx6QSc4SD3aMoix90RLv1tDmr3G9NGOOG8E+Hcc+Hl16G/H8785oH8+8rfs2jqR+BdBzVfijvXePdhRB/eLWxo5Q7nyOYaltf023MOxM41XDXgcOKMhlm65maYfKLpddM4wvJeUxux8V+ymuMuPzH1gd8ugKVHwdvtf+GHfzqaDW0zGOpw8P778B0H7GH53FTmGqC0EQqyOo5AthFe4HcJPkPFiMmiqqoqnE4nraphEWhtbaUujgG3rq4u4f76/62trdQrBuTW1lYWLVpk+5kvv/wyn3zyCXfccQeXXXYZRx11FEVFRZxyyilGFpIVBQUFFBQUxDxfhxwAqMgl9iJVkcg2XoS8eKzISfK5FQlecyMnWSq6WnvERgs0lFTbfn4Z8uIxoLUEBZFB6gMtcbOOahMcUwn25w9EwzijEA6fL6ojtLZA8zKYOFu8ozrYAf5t8g3RKAwK4ssRLCasUaU1u5jPmZPE5zBRIZ9451BHos9NlLFdkOS9Ry2G6rCwL7328oGUn9pNvvbd1XOY04rwUiCqoeU5CxJ+bqIYj2JkB2NFSucwv8RUMUDvfQpz8o1BqIEcmVlECxR77UPJywGGeog0OY3vWaN9mCvJMdm3MAKlyA7GivwEnztxIkIOouGwI2CCcht4iqfiKZoCne9S5/orM9zXs74ln5dfhq42qE8QuptyG+HbaDrPOR1vU6+QRZ++iHGu9t/fvo245Fz4z9+BANx3TTsX//D/aR+WDwc+bqwYJzq/ZUBZNCqOJSq6nm26pnYQ6gNNop2wyWEYSRtRDxyzB9x1rXjuo3cWcvr0+yDkpTpOcGJPV0hMVDRduqszRL3SxaXcRvSsFN83J59Nq7ULMQD7TI3//ky1ESXeQWOpLtAflOew5yPjenh5gxaw6IX9ptv/bf0cWtGvj4w6ILzNKX67gS2mfYqB4u4PYbCbwLZy4zqrqEhyDgsnURkNQaAL2v8HwIGz4O53xArWZ8tgn31i3xaNwrPPRKHFgSvPz3GzVhoDIh36OTx0F3hFkQjU1GS+jWjQb6YhCGx2U+9dhxWrVmH8Tnu636feQnl4MC84qRj2OMJVTVF4gKLwALt5NkHLIgDaVomXjXFENAr9GwhtyzN+O48nto2YU4r0cASAFvjnHbDA5gCSthHAHhMx/t6WT6BpCQx6AS/M2dP+M+K1EQV7Xsp1P7pKZOLM+U9MAYV417eOamCXcnk8/Z8X4B7yQV6x7AMjQzIHrahBZANGxHsm59l/fibGEYtq5XFta58E/nWptxH9G4124P0erSdvg6n59sebSjur45wj4fZfi+0fXb0rQi9hRn4nfHd+E8WhfopD/UYBBK8XnrpXmwJF5Pdb+xocbWFjE53DP18NgyJbn4svg4VKX+oADp4jP3v9G7nUL27BP+ii1yvG8ZNz7c9DTBvhdDMpIseZjlaot65eaLC2EX/85Toee+EIAEry+3nw5iIjI6jl4xJqI2GjSpVx+L71sj/X+kq9jXjqDvmdTtU+JxNzjROXwI0acfbWk/Dtk+PMNRw5MOd7gizqFjmE8yryYgJtjeu7oFJ+l96VxuuJjvdrh8F1mqTnjQfh0q+L7RUrEKxACyxpkJ+xq9IwdK2C+sYtDGysMs7TVK1RN13fzgJOmvIILf+vnqLdvotr3RuiXavcC3Jip7pZHScbyKGsr5ctA+AN5w5/rtH8DOX6vGji0ZAjKaZf/UpUDvzlt4/k0kXXiSe96yC3mI0dQuo5Meplar79aNh0Dgvg6b+JTNXnnwdvl5PTr7qfl356MLtF/iv6FmVOqJ7D3s+Q4/eSNgq0ttYOI5mvFULsXMNZAJ6ZOPo+o779dYiEbH/zRO2sC6jv/URc23llMX2OPo44YcFmjvzBfH750C+5861LufnmPMocNnNpDYnmGqC0ETbIyjgC2UbE4yTsYG0P0kZ+fj6LFy/mxRel4CwSifDiiy+yZIl1rURgyZIlpv0Bnn/+eWP/adOmUVdXZ9qnr6+Pd955x/YzA4EA3/nOd7j11ltxOp2Ew2GGhsTEZmhoiHDYytvt5IhG6WqXDsrK2jQuCetELEsl2k1VQZ7AHIamVkML+yEqfr/ugLw1ysqyclijCqdThMsB9AeLeenTQ2xDrmMCrrNYCS0pcvLs/75dwHWOE49OFiEGlHER2j4CrsEccg3msGUDSlW0Uw4VIvVIBB62aoyHC5WQA+h42/RQrYS2777YYr/9RKAqwFvLqlm+cZF4sMdNULmn/ZvsoNsQgp0QCRnh1gAVhdqMOYPh1joOOkhuv/TpIfIY4qC726wf8fXECRtNBj3g2j2RtWvFwCgvTwbTZhNulyQd/P3K2ppeCQ14b5XMCUmnEhrEC7i23JihfhgUCR9dA3LUnjTg2uGQFdH6N8GQz3Rtxgu5XrECmprEeT5k3ku4SuIPFdXQbMhOwLXqfm/rq7ENuDZVQpu4anQqvyhh8w3Vm4ztTZss+0UGgaj8fUlcDU3H0qXmMNp0MVtZAl2zJr1KaDHIL4U9/gLzfmJbaTMVqNdGW19NbN+qhvO6asz9bBZ/TrV/2do1KW5hC1vo1dCchbR3yQljJu6DvfeOXzFJx69+BX2d2v3gcBpk0YMPampTYN+Zbxj7x4kttcWmTeaA9csui92nrk4G0H+0uoZoFGFB05BSuDVAXilVHvn7p1KtEeDll+HHV0u9xD1/+ZBDDhEEC8C6lhmmCnsGTAHXsn3r6BBFKEAot9TKVCPFvvuK/EUQIdfRRPnK077B1m7x40+sC8RUGjPBVSWzTLuWJ/lggT33lCHszz0ncpogNtxaR0xFtMFeU8U7m1QRyBNkSKWnC1evstqXhXDrlJHnMRZMA8FcQlYpU6rYrISNTD7Z2Hz7bfjlL8XY+ifXH8zmDk2b3r+B/j6/EQjeMDH1dBqXCx59VI6/evrLOOyaF1ixbqIssmEDPaS9oriTgrzB0a2GBjLkOhIU5OxwoOczuRMsdRZU4s4PcO3Xf8K6V59Jvc3ZwTFisgjg0ksv5fbbb+ef//wnq1at4sILL6S/v59zzjkHgLPPPtsUgP29732PZ555huuuu47PPvuMX/7yl7z//vt897vfBcDhcPD973+f3/72tzz++OOsXLmSs88+mwkTJnD88cfH/P3f/OY3HHXUUey2m2BR99tvPx5++GFWrFjBjTfeyH7WEebODn8TnT2Se006yFdhTbDPEjGhkySgkUVqw6KSRUoCf09QrhHbKVR2RJiqon1wrO3AsVeZq5QW9o4tWQSQb3Py4wzoPYVywp6QLAoP4AtsH2SRXvVNh17G3QSlbOkpu/7F2P6PNUBsuFBLeAJ0vm0Myvr7YZkWNjZ3rqzIYYXDARddIONN//rChTDjW9BoJxhPgAJl7SPYKcKtNegVZbJR+aKqSpJdyzbsTk9/acLqK93dZhWktyeQ/h8NDcCgYMMirslGNZbp01OoDJUBuN1y4B0YUMkibZCWk8/7K8qMp9OphAZmsqjPr600DlkiFAfkinunT1xcxcWQb7GQ2cKoiAb0fmoii+KVcH5aCfM7auHTpqIKVuy1l/l3sJZLzwRiq6H1xEyIPlWCD+ZOGC2ySK4VVro2GxPBjRst+2lV9NRqaB6b23PqVEGCgqj0d911Izu8GTNkFaPVq9OrhJYNFBVBkVvMStv7qs1VvMBcEt5Vbe5ns1QNDcRkrLpKLIBt6Zoce1yJoBOX+aUmgmMk1dB05OSICnjHHw+nnBTgkiNu4P+dcgV3Xv5njjpK7NPRAdf9+3jxwF1vlNa+6y75Ob//+uUUFYg2JZUqiDp++1utwhnwve/ZE2AOByzUhJXtPWU099TT3CfJ83TIIqPvAlOfFg9btsCpp0aIRMR3vvKk6zjmG3vidML0ieID1rU2Eum3+T11AslZaKpk+8ADGATC178eWw5+JCgokBP+lhb4+OP4+/qHCunylgEwqSGFvlzLuWOoR5ZqTwCnE+Ma8vngtdfEtkoWzZ8vt2PIolCfCODWYFcNDVU506ksrpXvlvT4soZcDx6XHPj29yfYNx7CAdj2hNjOL4c6sXAWicAll8jdhoacXPvEj8UD3wY2b5avTZ2U3sJZYaGYl+lT5y5fJYdd8wKfvmVN/BGIRpWKfqUtol1wxuh/sotS5QLq/ST+fvEQGpALZ666+Psp/XBpQWv8/XYyZKRpOvXUU/njH//Iz3/+cxYtWsSHH37IM888YwRUb968meZmOQned999+de//sVtt93GwoULefDBB3n00UeZr7QWl19+ORdffDEXXHABe+65Jz6fj2eeeQaXyzwp/fjjj3nggQdMQdVf+9rXOProoznggANYsWIFN9xwQya+5o6DnpV09UuGKC2yyKoQyM3OrH3iRFi8WGwvXw5bmlyy9KNaolFZ9e4ekKP4nUFZBHD44eDS1ASPLzuWSH9LzD6xZNEYMikQhyyyF9d63H5j2+ez3UUg7DfIotzcSGoT0yxBXbWaMQMmW8PGQIQ9VwpPzcKKB2icLib2r7xiLiE6bFjJosFuQ13y7rtygGlXTtxANMIZ07+BxyXI13vfPIvemf+X/rEoAacE28zKomLtQRaURSBVXZGok9c++1JCsqinz2l67O0Npv8HdVUR0DSwAL92+c6cmf5HDQeuAklK+Pu1mVMkLGTlAJ5G3ntfdNuFhfFL9sb9fJckW7xBbXBtVRYp56DLKwiHeIRkDNQStr2fMG+eVGm8+ab9IvRTT8ntryz6ryzHbYOiIkEY6duZmCRbUVEhQ3nb+mpExayQufH6RBuL1pa2UOnpGh2ySLkPHYMdRinkTZss5zUsSFKdLCoqkt9HRVWVKFV/+umCsCsa4RpEfj5M0/Lg16wxk0UzZti/J9uoqRQ3sFAWWSbxQaUeT0H1qCmLACZNFsR2U/cEwr40OgxdWZRXZiKLMqWw239/Uajh3w/kccPZP+CK437HOQffxw03yHbjuseX0tpbY9ynGzeKfg9g1qwo+85fxd6NIvdj61bxLxnWr4e//11sl5TAD38Yf1+dLAL4aNNCmoOLjce2JIIdcovTUhYFg/C1r0F7u2h7j9j1GX7542ZwioFK41Rx8fgHC2neYMM86f2Wy/xD3aNUNzjzzBSPPQ3o9jgQip54+OgjuZ2SgrZCnnO6PkjpWNQF4qeeEmSHTmBNm2YmtKdNk24nXVmkkkWJlEWAUbkVGFuyKK9ERjGQZAwcD83Pyv5n0vGGBe2uuxBVURX87dXzaOquh/6NbNwkG/2GyemPhYqLRb+w9+7i2m7vq+GQ0w8ReYkW+HxSWVhX1gK5JXEjTLIGdaGqZxhkkTrmdiVWFhkYTIFl3kmQMR77u9/9Lps2bSIYDPLOO++w9957G6+98sor/OMf/zDtf/LJJ7N69WqCwSAff/wxR+m0swaHw8Gvf/1rWlpaCAQCvPDCC8yaNSvm786fP5+1a9dSpIx0cnJyuPnmm+nt7eXdd9+lUaWpvwjoWUmXb7hkkWWUlEUVi2pFe/Iph/zb8ZRFfnmT7izKoqIiOOwQ0bE190zgg49iz/d2ZUODNJVFkixKrCySNrTiwtCo9zMq1ObisMMS7DhVtaKJEgkZs6L5Y0lD3YqmKjQSkkUrf42n5yHO2v9uAAaCbu66dxiWDpcitQi02yuLskQWqaqulz89OLENrdecP+frs0YkpgCFKFnbvsDYHi2yyKQs8mv26YEtmrUIOsKLDSXJ7runr3ZyOOSg3BvQ21t7sigahc5esTqYch9iIYucTplT1NICGyyL0F1d0qoyZ8IqptdsSKgsArj+emGXuuWW7Ki9cnLk5LtNk/Ebk3RExly7JhSYN0kblI6yDY1gu2EZCgQsBLVFWZSI+Dj3XLj3XnObNxLoVjSfz2yVHQtlEUB1pbiHOn2VhLwW1a5JWWS2oWVTWQQwebIYeocjubS0pOhNiYQlsZtXalyDkAXSNMcpJ0XBdhobhU0RhGX+N49cZZBFd98t3/aNbzhwVOzOkkbpP0vFivbrX4OeFnHppYnbGzW29KPNC2kakIvMKSuLcpxUlsqxSTJl0fe+JxZpABqqN/Cv75yOc9a5xuuN02Rfs26N3/zmaET2W4oq4fPP5bmZP99sw8oUUiWLHnlEbh96aAofXKEEUXUtS/lY9Pb6iSdEX6CTJ9bv7nJJ0mrdOmBI2tBKSuIoz/PKYp9z5EDZgtjnRwuKDQ2SjIHjYfODcnuyULT39cFPfiKf1hVkwSEXf3jyMvBtYNNWueI6dfLw/G8lJfDMs04WT3sfgNauUg45xLwQAFJVBJqyKEvjwYQwjT0SyOjiQc1uTKQsylfIogSLlzsbMih6HMd2g54Vhn0ARmhDy8ueisVkwXoc2cCEVLJIbncPyO+0syiLAI47XmYPPPbq/JjXTcoi9/ZqQ7NXFhUXyhWNxJlF0oZWXDS2GWMLFsAVVwjZ9JWxRTQkJqtWtOuN7QceyMBBWJVFYEir1UlYXIfttifhY6G2vPDwW42n//rXlCIGzFAnqYE4yqIs2NDAnOHw/oY9EtvQ+sxEmLfXWgsiBahkUYucQY+assglWVL/gDbAU3IC3t/8JWM73bwiHQZZ5NfbW8typ1+cA1+gmFBIrE6mThbFSsHVa9RqS3nuOUGwAhy9SJMYJVAWgbDePflkdlbidehWtNbeWnG/DPUYr6kWtHkTR5Esyq/AqEARaDdUPGAh4dIgizINNbdIJbV1FdRoQ/8do9EcOlv6zC+q2TIFZhtats+Zqlbdsi0/tUZZHRfll2XchhYDndjQ2tyrroKiQtE33/rSUtZ37ko0Ki1oDod2T1YsZsnM1Mmi1aulwqa8HL7//cT7q8qiDzctotkrmch08kOqKuTYJJGy6O9/h1u1LtSV5+fh759IRcMcKN3F2KexUbbb69Za6vsN9hi5mypZdO+9cpdstWVz5khb/WuvYShlVUSjkizKyTEv4sbFMJRFpaVwgFaK6vPPzZZ9O6JMJ7C7u6GzK8dQFsVVj9kFOHtmm2x/o45cD8UFI1AWhYOw7XGxnVcKdWL18uqr5QLBCSfA/feDWxuC3/rSUtqa+tm4RY7JG6Zaa06mjrKqIp773WUsnPIhAE1NQvGt2p/VxQpBFo1yXhGIar168PdwbGhqLlRZ7DzMgFrMJcHi5c6GcbJoZ4SiLPJ4okYuQUqwMsJZCrgGsUKkd2QvvQS+kCb9U5VFikWip7/M2N5ZlEUAXz0mB4dDs6K9FTv7j1EWZfE3SQl2KzhxlUUyNyapskgni4qH37FlCv/v/wmptDW/yISiyVAlAvd3LX+IWY1i8Pnqq+aVlrSheqfLdzdyIeh4m3BYTrjr6uKs2HvXwZty9Dn/q2fwJY1jWLVKHF9aUJRFn3wcNg1ys60sKiuD0hJB+rT3VSe2ofnM94W3bxiko18hi5rkjG70lEVy0hEwyCIZbv3++kXGdrp5RTokWaSdr5BPrH7r0AgzdcEhZRuau162D9rqXqKQa1Ne0aKn5WeMMfSQ68FQgSBdBiWT8IkyDh1VZVGOU5RNBgh2mO59NUyasJ9odOzJIt0qO3GinMiMNmrq5OCnrdkyUw7Et6HZZTxlEmq/srWj1giUTwhF3TY6ZJG2SBDyQThAbS388HxBXIfCeVx5+ym8+SZGrtvBB2tqkIrF7NMoM2OS5Rb96leSML7ssuSqrtmzIT9PXFwfbV5Ic6/0JKVDFlVWyP4hnrLogw/gwgvl41vPW8puDR/CjPNM+zXOlhf4ug0WD70p3Fqc02jUTBadfnrqx50OHA6pLgoEzAtNOj79FNZqXcwBB6RoaXRPlOOC7mUpr0CpAfp//rPcTkQWAXywZhYDQdFf2VrQQBAF1kXLsbSgAeR58LjlwDdtsqjleTkfmnQcOPNZu1aeu4IC+OMfRX91wQXiOf9gIdc9cREbN8u2r2HayKb6FdPm8cJPD2PeJNGnb94sCKMtmhjHpCwqGyOyKCdPkIMAfashnIayPOSHDRpj7XQbBWxsUTCuLBrHzoDIEPStMjKLKirS9POMog3N4ZCdx+AgvPe5FkYRDkjPsWKR6O6Xo4idSVlUVwd7zxaTjpWbd2HDerNkVF/xdOaEKCwY2KGURZ4i2WAn6iijQ1JZVFSYrvRlDKFWRTtE5DREo/DQQyP4TFVV5Jkh1Ro9K1i53G+Qbvvvb2MLD/XD/06UQaiTT4S5l5sGvDffnObxFFQzGMrj1w9fxW4nnMpKrVquqyDMnAla6eksKYsAKivETKLDWxV3Jcfvh+CQxYbmGwbpqCqLNstR86gpi9yyS/b7tePvk8qi91Y1GNsjVRYNBN2EwlquQUhJ3tTOwbCszA6HzA4Y2AqDvey9twxuVdUm4TD8V6vO7SkcYP/Z2kwmibJoNKCGXIuKaD3G4zEji0BO4IPtphwgE1kU8tMfLCIaFSd9NMkim6SAMbOgAdTUy0WM9lbL5EFVFrlqjH62uNg+4ymTMCmLUg25VskixYZWUpJi+Hy6UPN1NMveD8/+H1UesX3/f+eZrDDf+Ia2UbGYSk8Xs+tF37BsmSAq7PDxx0IVAYLwuvji5IeVlwfzp4n03jXNs1i/TR5nOmRRWVkOOQ5BGHV0xI45OjvhpJNk5a6Lvnw7Zx9wt8iMnHKqad/GXeTYdN1GS19oIosEq/fBBxjZLwceGCcXMUNIZkV79FG5fcIJKX6owyFDroOdMLA58f4a1NyiNoWr1QtZqFDJoldXSb99XLIIIL/M/Lhi7MmiESmLVLXLFFEF7Yc/lEHwP/yhbF8vuwzy88QLNz3/HT5aLXN3Jk9NRzFgg+p9qfJ08uJPD2XONHH/b9ggCKOmJhsbWhbHgwmhK4KiIdMiW1JsfUT28VNOsVep6chXBkPjyqJx7LDwriUaHjQG+imvCOuwKgSyaEMD80Cys1/xieokkUlZJI9lZ1IWARx7wHJj+/GHzT2KPogtLewV5MCORBYVygG6ty8+CRT0DxGJihH6WFZCSxumqmjXG9sjsqKZgvbqoGofhkK5vPbpvlzzG3k/xOQVRaPwzgXQo7E5JXNgn7+Dw8GJJ8oJ8COPiA4+Vby/qoE9rnyfXzz0a4ZCInRg9mx46Z5nqSvTjjWLHnV91byrv4LwQJftPt02C/PDygdQyaKN4kLMz0+iMMsg3ApZFBjQyCLVhrZC3HulpcPPmVHJA6MCoWpF05VF/ZIxSasfMWUHfIrHI1eOV66USsn335f2j8N3e5v83CGholMzssYIMRXRlIn62JJF2s0Q8jF9qrTRmDIkwv6kldCyBVVZpGNMyaI6yaKok1Mgphqafl2OBrlmIos6J9tWQY3BkOKTU5RFWVEVgcVuIf5YiXMTVx3/G+NpXalSVAQnnqg9WTwd8koNK9rQkKzeacUvfylFKT/+cep9/8KpooxWJOrk7ffE2CM/P73IBaermPIi0XF0dpgXFsJhUZ1s0ybxeMlubfz5jO+IB1NPjRkXN8wqJ9cpJuprt1ikOSa7ozin2Q62VnHooXJRyY4sUvOKbIpNx8cwrGizZsX2Wy6XfV9mJoukHz1hiHmeZZI/1sqi3OLhZxaFg7D1MbGdVwJ1h/Pss1r1aMR5UIqMM3EinHui6I/6g8V8tlU0vPVlTbiKRzhn0BT0taVtvHjt94zfZt06QRipAem1pa1joyyCmMzElLH+DrltUQ3GwJkvv994wPU4dlj0rKTPX0I4IiZ1aeUVQSwjnGXLk6oQ6vErgxNdeqlY0np8soPemZRFAMcdIkMnHnvcfFsag1i3trFdVkOLY0MrlrkxXm98pYfPJ4mk4uIxTLdOF4WToFpYB+eXPcKcWWIC97//QXMK439baGRRp7eCWx8/khOu/CmVSzs58Lev8cDjchYbk1e05v9g07/Edm4xHPCw0anl58P554uXQiG44w5SwnXXwd5fns3KLWK273SG+elP4cMPYcmuSlBKFleSqqoFiRiN5tDdZV/Vo6crNp/I1z+M60gjSiLRXNZ/LtrQGTOyrzTQYVIWBbR7Qlsha+prpKlZHMjixcMvs6ySB96A9kANudaVRYNSupJWP2IzYNOv1WgU3tYcKiYL2q7aoNg9EXKykFqdJmrloqxQFtmQRfWVXZQXac+PtrIImDZBKhbMNrSAzKNidJVF9fWxE/6xqoQGFoVYR67ZLhOnGtponC+TDa1rUmpkkXINhhxlBkGeqUpoMbAEqgPgb2LpobfSUG1Oqv/a15Tf3eGAit1NuUV2VrQPP5QK3Lo6uOiiFI8rEmZhvfRThUKina+vT7MAU16pURGto9P8xquuguefF9s1NfCfy5YKMhtgeuxkMjcvh4Ya0W6ua55sdmWpyiJXNaGQVFPl54tzl01UVcnKwytWmMclmzcLlROIggl6aH5KGEbIteom0DF/vn3/qpJF767fy9hOqCyKIYsWpXRcWYMjB0+RHJukpSxqeVESxBOPZShSwA9+IF++9trYtvYnlzQZpKWOqVWbRj5nKGowKoRN4GleejFiZOatXm0eT46ZDQ2GF3LtXQetL4ttzyyoTlQ1RoMecj1uQxvHDouRVEID802eUyByErIIVSHU41cO1iCLFGWRV6pXdjayaO4uMKNWmP9fe6vYpJQwlEVubWPMlUVlsc/FIYuKC6WlLlGGjIks8uxAZBGYrWgHi5nwiKxogVYCgwUs+umHfPs3R/Ho81Nl5SoNp50mB4AAtL0Oy5R6w/v8A0rnmt5zwQWSYLjtNpkpEg/r18OPfgSRiPg9Fk1dznv/dz5XXy1WA00EQzaVRdWyDepotyccu9til+y8vmG0XRpRsqV/D4JB8b1Hy4IG4C6UxxzwR4Xvvl9MzN5vlhr+4eYVgYUsMkKutfMXDhgTw65gg7Hf8JVFglmxyy1SyaKvzNPk9sVKavMYIkZZpEnU29qkGmpew0a502gNjhVrkCevzThOa2aRqiwaTbLI4Yi1oo2lskglUtq6S01KZUNZlFdCmAJj1T/bldDAPOHd0jkZAukpi7r8dQYhkT1lUawNjYEmCvIG+e3J5soPZ59teW/F4qQV0X7+c7l9xRVQmGoO8cBmFk15L+bpdCxoAOSVGJl7Xm8Og5oI+tFH4ZprxLbTCQ/cuYmJ0UfFE6W7QNU+th/XOFF4cfoDRbQ2KYsaFhvaiy/KQOCvfnV0xrKqFe2FF+S2akFLS1UEw1IWgdmKBvGrwKkk81BYKgRTJosKJ5vzZcYIasGWtMiiLWYL2k03icxJgCVL4IwzYt8ydU4tZ+9/l+m5huqNIyeLHA5DXcRQL5NLP+Oll2TFOhVjFnANtgU2kmL9nXJ7xrdSY5z162qw25z3uBNjnCza2dCz0sgrghHa0LJsQQOLsmhAeaAP6kxkkSQkdjayyFFYz3G7i9X1cDjHmEgFAhiDmNLC7YUssiiLcvJlCLMFniKVLEqkLJINdHHxDtYsTT4JvUrRyQv+ZDw9bCuav4WPNi9ka5f0KlR5Ojh933u56+KLaW6Kct99Sp822AtvnCJ82gBzL4cpJ8V87JQpcqC2bZuUM8fDv/4lt5ce9jfe/fVe7DZZWSJWJ15ZHBxUVclro6PT/trobo8dhXl9aSpUFKJkbZdkY0aTLHIVymP2+wHf58Zg5L1NBxivZYwsMpRF2vlTslM6A3IkmJ6yKHFFtDfeEBkH74tqvCxa4GdCuTZZLtr+yKK23hpjom6yoE1WMhFGK6PBZA1qN4iYbduUSkdjSBZBrBVtTG1o1uypAcV/q6tlCqpNk7jROF8FBVBTJTr2lG1oirKowyuJnNG0oeHfBsDX93uYPfYQbNXcubJ0t4Hyxewy6VNKtAWut94yi7refVf2P5MmyXDelNC7il2nrIh5On2ySCqLQGQUrV5tJr7+8Ac4cMJN8onp58WdTDZO6TG2132i2KVVu2NB1ahUQbMiXm7RsPKKdBROkfktXR+kHHL9pS+ZFTHxyCK3297+ndCGpi5kjrUFTUNxkRz3pmxDCw/ClkfFdq6H9twv88tfypdvuCHOZVjUwBXHXmNkcQE0VG+Ou5ibFqqUFZ/2N2loEIWJVPLOmROi0tOZ1cXDhCieLr9rTwrKokgIPv+72HbkwjQr6x0HetsYjZiz5HZi7GCzsnEkxZwf0Fl9mfFwRDa0Uai6ZSKLfMqqgK4sUsrFdveK1YWCgrGrrpI1uOo5dvHjxsPHtc2YSmiw/ZFFcfKKADwedVUl/mDCRBZ5xt6GkhYKJxrS1XlljzN3tkjzfP11MYlLG4FW1jTL5fmf/QxaHz6Te79zJmftcyN1JZYwyU/+n5xs1B4CC6+O+9Gq1D9R0HU0KnMVHA742Wn/IC83ZK4gpCqLsmlDU+YsHZ15toPSns6BmOd8A2leRwpRsrZdJm6OqrKoSAZRBgKYK6Gtk8c03HBrMJNFBqmgE3/9W4zXuvwyQy6tRQdXjVx508iiKVPkIP/tt0WlQR1HHyT/JkUNafyh7CGeDU0li3aZpC3zOgtHzzpnsgZ1mFbfjVLG2xlZtN3Y0Ppq5D0eGZIVyAqqDfUujI6yCGDyZNGONffUE/KmUD5TCVlv75U3ZNZsaGrAtWJDA8gpnsBzzzm49VZ45hkbS2zFYpw5EfaeIYo+NDcLy5MOVVX0s59pStVU0fcZ5UU9TK3aaHo6IYlgh7xSMbHVsGmTyF3SJ/Snngrfv2QINvxTPJGTB9POivtxjQ2y2t661Qr7qCiL+kM1PPyw2C4rg6OOSvOYh4klS0SuFAh7XSQiyLHXXhPPNTbCvHnx328Lh0Oqi4LtBpGYDPn5ZvLKLtxah12WUcrKou2FLFJiFXzeFIu3tL4k7/eJx3DlL1xGG3XOOQkWi/IraJzUxun7ypW+htrmNP2ZcaAriwA6hFRwxgx48UVhIwXYvWEZzpzI2CmLcpxQoinqfevEAmAiND0NAa3tnXQsuGsT76/jC1gRbZws2tlQexBdJacZD0dkQxsFUkIli7p9yizGzobWlxfznp0G7nr2m/UGFZos+r//FVU4TIPY7VVZlGDVwlOsrqokIIv6ZVNU7BmlgJhMQqtUIaxooiMdthUt0MraVslQ7L035NTsLV/vkGWJ8X0Oq68X2zkFsPffEk5cDz9cTt5eeAHWrLHf7/335WsHHgiTJ2mqpcFupVKhwmSOQsA1QEdfqTmMWUN3R2yWkbe/IOa5hFDDrVvk+R9VZZFbkkX+gMMIt45G4b1PhdKsutpe/p0qVPIgJrNIOQedPjlZTKsfcTikFc3fBIPdOBxSXeTziXK/Oo5a8qF8sL3a0GzIonkTNHXDaA6MLdYgVbVjhFxvR2RRUVEWyYwUoLYd7X3Vkiyy5MiYFmVG6XxNniLa6UjUSfO22My1GAzKwUBHX5mxPSo2tGC7KC+tE2zuCZSXC0WQbVvkmQF5Jba5RW+8Ac8+K7YbGuDcc9M8rj5B0i6c8pHp6eHY0KqK5XXwzW+KMvIgiJM77gBH05NygWTicWYCzYLGRjnWWbdG+T2Va+3x5yfQrxWePPlksfA5GsjPh4MPFtutraLQwBNPiCBvEKqiYfEJJitaarlFAD/5ibhuDzpIKI3iwUoW5eREDGLCFgVKRzXWldA0eNSCEt4k3n8dWx40Nj/0nsftt2uf5YH/9/8SvM/hgOJp/PbkK2msXUtj7VpOWPJy+gdth4rFQn0DBlkEor3/4AO44aq3+PfFWpXAsSKLQI49ohHoW514X1Ow9bdS/xv5Kln0xQi5HieLdkJ0KQrYEdnQRiFI2awsUkgQO7KoNyfmPTsN3BPIdYY5epFYcvd64dVX4ymLxjjgOq/M/DiBsqi4WBJEiSS4vgFJEO1wmUVgtqLNH6EVLdBiUhbNmoU5J0Eliz78CUQ0n+KcH0BxQ8KPzsmBb39bPr7lFvv9YqTyaoUqffBrsqGNElnkrbJdybENuPanKb1WyaImaQEcK2WR359jkEWbOqbS2S2+zx57jGyh0D6zSLehyXPQ5SszttNedFBzi3pic4s++0x+7t4zlECT7ZAsauurMVZ5TWRRvZbTMapkkb0NDZTconBgTMkiNbNo+vTMLGoPF/n5UF4q2keTsshUCa1mTMiiSZNln7d1WwpDcUVZ1NErDzJ7AdcWG5qaq+ROIuNx5EC5OeRazy1SVUVXXSV+o7TQJxqPhVNHSBblm5VFein7khJRIay4GFj/N7l/kipJM2fJtnvdemXBy6iG5uCBR2TjO1oWNB1WK5paBS1tC5oOU8h16rlFe+4pSKuXX4bcBKJMK1lUWxVMuD9Tvy7GKhV7Qv0RKR9PNqHGKqREFkWGYIv4caLOIi65+kBDTH3VVSQmywCKpzG1ejNr/zSLNdfNoqbavihI2sh1S7VW3ypJHCNUfZec/g7TajZq+24HZBEktqINbIMmTeJcOAnqvhx/XyvUtvELUhFtnCzaCdGpXLsjsqGNsrKox6ckHOokkTYhDUdy6OvbickiVw3g4LjFjxlPPfaYRVm03QRcp64sysvPpSBPSEG93vizBl+/HAGkWj53u0LhBKgRmTLzyp9k3hzxnd94A7ZuTfRGG/hbWdMiZlw5OYiqE5WyGohBFrW9Dpu1EERXDcy7glRwzjlyRfPvf4cBi4MrFIL77hPb+flw0kmYV1T1idZY2NC8VbYrOd3dsXlYXn+aXlWVLNosvq/LlUT2nmG4i+TMKRDMMWxo730udecjySuCJNXQVGVRr9xxRGSRTW6RjiOPBKdfSWfeTjKLXC4oKREjdGFD6yUalWTRhAlRyvI1+9xokkUma5DZhibJorFVFs2ZI61cI71WM4HqKiGfMJFFpnLmY2VDk9tbmlzJM1+UgOv2HtlJjkpmUaDdnPeUjCwCqFjMPo1yYeOtt+CVV0TOCQiF61nxXV3xoSmLFs0027FHmlmk4+67tQWCgW3Q/F/xZOFkqDs84cc1zCwxsmLWblDGaNriRii3mpdeFmOgqirYP4WiS5mEShY98ojMLqqvF+rlYWGYIdeQWjXPxmlmomNC3WDiN5QvhOOb4Mh3M5PTkwGoSvlERV4MtL4Cg2LF/z+rf8v/XhfvnzkTvve9FP6gYuV2OMjs4nK1suKjLlrCqCnNk6IsxZDrDf+U4dTTz02vmNO4DW0cOwNUZVHag3xXtfT9emwMwxlGXp70Uvd4FU2uoSwS//cF5CB5pySLcnLBVcOXFzxHfq7oIB9/HHp65C7bjQ0t1y0sTzoSKItwFuBxiYloolLmvgG5KrdDkkVgVEUDOOVgGQT94IN2O8dH1N9q2KCmTdNWXgsqRVlPgO5lwou9TKmjuutvUp60VlaKamogrq9//9v8+gsviKpPAMcco91vBaqySHvRRBZl70dLRVnU3S2vrdLCHgD8QXfSim8maERJKOzk8y3i+zQ2Dr9E/XDgKpRkkT/ghD6hLHpfCbceSV4RJKmGppBFXb1isF1Sknj11xY2ZNGiRbFZc0cdBfRvFA9y8lKbhI4SamrENaVXQ2ttlX3rvF3CgDa5HysbWnD7tKEVFoq+6xe/SGKZGCXov2Ofv5RAj0YSqdlrBWNjQ1PDe7e015gnW3ZQA6675Y2UNbIo1y3HGsF2U6ZbqmRRWVEvu0wU9/+HH8KPfyxf/sUvxPgvLQQ6jMWChfPNRMJIqqHp+NnP4NhjtQef/0OZTJ6TdDKZXzZBlCkH1m2pkNyf1l+9u+kQ4zo77LDR7VdAKP50y+Bbb2mZeMBxx43gWIqmSaV5d+o2tJTQ9hozW8yFOiZOTOFAs1zBOV0Ue+RF7vOmUDlLWwAcCLr50a0y+f1Pf0pRhWddcMnk2Mwmt8iAiSzaTpRFvXGURdGIohp0iPs7HZhUl+PKonHsoBiRDc3pggMehnk/hQW/yuhxxYNO/vT0KS2hxYbWMzgxZv+dDu56PG4fh84TS29btwormo7tJuAazOqiRGRRjiSLvN74zU2/X3aoRdvB1xsWTFXRZChLWla00AAtHUX4NMWHqQy13lFHBmH5ZdCllZMqnS9WRtLAhRfKbWvQtWpBM8qz2imLdILBWZjVAZo6Ger0Vdp2zrpFFWBypQxM1vMhUoJGlGzunMLQkPi80bSgAbgLJekVCESM0ND3NkpZTibJIhlwrdnQdLLIkUNXj2CI0u5DwJYsysuDvRSBnMMBR3w5Cr4N4onCKdvVQF+3ovUMlDPY32+2oM1WgjPHyoYWaKe+XqoEDWVRyC8VY5h/79HCl74Ev/ylOSh8rFBTJ/uW9hbtdwuOvQ1NVRZt7ZqUvCKaThY5nHR0SfY2q5lQOjkZ7DAHGBemILfULEq6FS0UElXQQKjPTj99GMejWdAAps0qMy0sDSfges4E+XlHHAG/0oe80Qh8rpfUTnEy6Z5AY+06cZj9hXR0AOGgMZZ9fuVhxq6HJxYpZQUOh1ldpOP440f4oboVzd+cWlW/ZBjywnsXwQsHMqPYnLczsWEMFSvDRFGJXFhNVOQFENW5tgoL2h+e/ilbmoTb4sgj4eijU/yDViv3F40sKpoq50jxlEWtr4i8TxCKwSTxDTEwKYvGyaJx7KAYkQ0NoE6rqFQ4Oqu8kixSlpn0iaj2f3dAHku5xQW108AllsaO3V1a0XQ7EGxHyiIwlyhNJPd1FuBxa2RRf/yJoK9fEoU7rLLIXQc1BwIwt/S/LNhFVEd56y3YsiXRGxUEpAUNLGSFmlu05ka5vfuf0q7GtNdesLs2xnv/fXjvPbHd3y+zDEzVWkzBuhZlUZYlx+r9HldZ1Cuvn8nV8nVvXworeTo0omRti0zoHW2ySK0K5O8XsqhIxMEH60SFj4kTh7GCbkEqAdfRgjq6ugRxNaw+xFUtc66UAZuaW7T33lBV0iXb+u0kr0iHSnS0d+XxycdyoD9vtprXNYoDY5Pao4OcHFma/vPPNSfTGCuLtjfU1Mp+p71NyzYLbGc2tM7J5kwgO+g2tPwy2tslqZw1ZREoZFGnqVJiSsoiz0zI9Zhyi3T88pfgHA4vrFnQAHLK5xjtSWXlMM5DXglzJqzmn98+m1+c+zAPPKAcU9urymTy0NQmk3keGuulNW7dOkwTyRc+lBPtww5jTGAli0pLZfD1sGHKLRqhuqj1FXhqHqz9KwBFrgHqK2R/njYhuB3A6SqmsECsWqlVf23R9ioEO9jcMZlrnxBVrXNz4c9/TiP7LZtkUeFkee93vAMRxVYXGqM+0QpHDpTsIrZ9GyBks2KoBls3phFsrWPchjaOnQGqsmhHIFZ0smhgIIfBkEYYWZVFwbqY/Xc6uMUs8JjdnzCealfGtEZmUSIlz2ghDWVRcYFQLQQCTntbUDSCLyBnyTssWQQwVbWivWFsp2xFC7SaKnGZlUX7xO4/4WioT3+Z0uGAiy6Sj/8qxmY89phU45xyilKtxRRwbVEWZTGvCMRgqbxMTPLikkV94vrJzw1SUyntCb4ef8y+caGFO6/tlIPfUVcWKbdSYEh8p7UtM+nrFyuMmciAiZtZFB6EQCsAfcw2KuUMS1kEUl0UaBX2EcwTk+OOQ1rQYLvJK9JhqojWXcEnH8vGa16jDPcc9YGxMYEX96FOFgUCokT5WAdcb28whZW3IRi1oGJDG6NqaBMmgMMhCMgtXZOTqzL0gOu8MqFaQZAbWSW3DCVb1GzpSIUscuRAxW7sO/NN09MLFohKYMOCoiyiZA5/+Yso2HD//cOwUmlxC2cfcDe/PPuf5t993fCqJDVOkX3TurVR4x71+ot5+1PRmat2sNHGoYeaSYejjx5GwLgV5cPPLTIhPAivHgsDGinpLITFN9A4T3ZAo5kfmDHkeowxsNeX5CLVLGiX3/d7/EEx+Lr4YqHESxlKZhEAeRkcUDscUKUxtCGvWbmjKouyPCZMijJd2RyF3lXm14KdsEUrU1xQBROPJW14ZsHhb8BXP4Pd/jCiQ91RME4W7YTQySKPZxie8DGAKeS6X3sw1Cc6j4iY+PUEamz336mgkUUTK5rYY2FvzMsl7j6xquzYDm5bE1mUmrII4lRECwfwBWSHtkOTRZNONH6fk+fJTiRlK1qgNbYSmo7S+WIApcPhHFFHddppcqJx332i3bjnHvm6YUGDWGVRNDpqyiKAqkrBXHR4q2yrT+jh+OVFPXg8Uk3k7UnRhxYZAn8LAGvbdzWeHlNl0aBgjt7fIH1nI7WgQYJqaIFm9ByeziE5Oh2WsghsrWiHHQa//a0YAF9yCdKCBulLwbMMa0W0Tz6RyqJdZrTKF0edLNIm8MFOiIRjK6KNK4tMMP2OPWWCdLFUQxsLZVF+PtRWCVtcUhtaNCptaHmltIimisrKLGffqPbjnhVy252ivLF8MbPrV1NWKMnVX/1qBMesTvxK5jB7tljoGJZSJ1/5oZXwcAa75WQyvwImHZ/yRzZO9Rnb69YMGgsbr6w6iFBYqH/HwoKmo6LCvOAw7Cpopg9VyKKR5BYFmuUCVOkucPTHMPsSGhslu7VDkkV5Hopd4rrwJVDXEwnDlod5bdUB/PttESpZXW2uHpjq3zMpXzKdJxnPira9BFyDGCvrsFrRNt4rKwg3nAXOAtJGbqEI+y6ZbW5HdmJsB7POcWQaug1t2CvCowwTWTSgPRjqM8kae/xVtvvvVFBW6447ZH3My6WFvduHBQ2GlVkE4PPZ7BMa2HnIInetYUWbXfocu84Typa334ZNm1J4v7+Fta2SoTCRFTm5UKmM9GZeCKVzh32oRUXwzW+K7UAAfv97WSFlyhRLtRarsigShKimtBgVskj83zNQzlB/d8zr3T4xIy73eCkukpN6b3eKyiK/JEpUZdf2oCzKZCU0iJdZ5DWHWwclAzFiZREYAzaHQ4TI/uUvIgjZRBZtZ8oi1YbW2lvLJ5+Kgf6kSVDq3g6URURhsDu2IppCFuXlRaU68AsKNdOnra9GVPWyVEMbC2URwOSJQjHZ3FPPUF9L/B3DAxAVhPmatvk0aVnTu+yS5QM0LRJoBGmuJ/U2v2IxOTlRzj/4dkBkr4woI0dXFuV6Rh6Gn1MgQvXBTBZt/JexSEnDmWlNJmfOGDK2164OGGTRCx+PbV6RivPPF/83NMBXvpKBD/TMkEqSkSiL1ND5moMNO9XXviaeqq6GfWzE1ds98jyyyMtAgtX79tcI+zu55K6/GE9dffUw5ztqXzraZFFOwfAImEwiXsh1NGq2oM04b/SOaQfHOFm0kyESkcqiYa8IjzJUq1xPQLObhbymaks9A3LGsvOSRXK17tj9YjvdEncfOLcTskivgAEZUBb58QV3ErIIzFXRDvqfsZ2SFU1RFhUUhE25FoAM2iyaBvN/McIDNQddX3sthvXo9NMtq7+mYN02SyW07M+uqqplJlNXh7l8bmgwbChkyor9eDySLPL1BUgJClGytkmc9KKikecDpQt1Yq8ri95bLxmixYut70gf6v1lsqEp56AzMNXYzqSyKAb9qrJo+yKLVEXKR5sX0tMryKJ58xjbME9V7WFXEU0hi0pK0si62ElhUhb11oiqXjpZlOsBZ8GYkUWTJolGNhrNoWlrMP6OSiW0p98/0Ng2MuWyBbXd15FOlqWmOrnmtCtYe+9FPP74CK7HkF/aVkvmjPzCdjhk5V/1fh7BZHLa9FwcDqFsXbcOQ8H2/ErBEDmdcNBBwz3gzOBb34LVq2HlygwVE3HkyNyiga1m0icdqO9TFqeOOgo2bhRt2w6pkswtMZRFwcFchobi7Lf5Qf72ynl8tHkRALvtBuemV7dEQrWiZZosqtgdcjTvooks0pXm28GPpI49epSxR9f70LNSbFctUexq40iGcbJoJ4PXKwgj2HHIIpOyKKjNzob6TB14j7/cdv+dCgpZtGDyRzQ0mF/eGZRF9mTRTqQsApisWtF+bzydihUt3N/GutZGAGY0DMaGgE47G766Br6yDFwjTzadPRsOOST2+TPPtDzhLJAD62C7JcxwFJRF1fJEdLSbK4r0tvcY2+UlAYqL5STC22smluJCI0qGQrlsaBLEdGPj6E+0HQ5w5YtJY2DIRSjsZPkmMRCfPj0zatGcHHmPeQPabxrymciijgGp988qWeTbKLetWQtjDJVkeOkTeZPssguWfIYxsqFBDFlkVRbtkJOrDEP9Hdu91YIs0iem2qR0LGxoAJMbZGDM1i0JKiUpypen35UlBbNOFqnEpA53Gl6gklmQW4wzJ0Jj4VMji0XwrkFXf45EUWuCQRZp57drGXR/KLYr9oTyXW3fFg+u8lomV4jMnXUbXBDsYGvnRFY1CQnYXnuN7vUVD7NmZXicVZ6BkOs4ZBHA1KljU9UxI1BsaBBHXR8J073qBX72wNXGUzfcMMwQeDAvvGSaLHIWSOuhd42RR0hI6xPH2oIGUDhJklbq2MNEBA8j2PoLjHGyaCeDWglth7ShBTTtv8WG1u2TO+0Iod3DgkIWOYLNHGvJXTMyi7YHpBNwrXSUcZVFCllUWGizz44EV42QUQOzSl9k0YIBQJQN3rgx8Vu3bA4xGBLyklkzbSYPDgeUzDRXoxsh1KBrgIULNfWEFbolwaosGhWySLI2HZ1mBqe7rcfYLi8dwlMiuzVvb7xlPAs0omRjRwPhsHj/aFvQdLjyBcHlH3Lz6bZdDIVRJvKKdOgDb29AG1BZlEWtfbKgQF0dw0NBhWzTej/WSnVZoCuLnG5wbQd11hWoNjR9tRe2A2WRag0KdjBNmRcIZVFAIYu+4LIiYrOn6N8kcmnAOJe6ssjhyJDaIkVMmiLJoi1NCZgUTVnkCxTx6nKRJzZ16ijb0HSkY/9y5ED5IrE9sFlOLIcDS7h1RqDfu0N9mkXlb/K14VhU3BNorFsHQHdvAV1tA9uVBS1rUHOLhmtFC8Yni3ZoKDY0iEMWtb/Or+/7Nh1ecb+deioccMAI/qZ6f7iz0K+qVrTOt7UMS50s2g5WKBwOuVg1sFkTH/iExRQEgaY4AMaRHONk0U4GtRLaDqks0oOsh/rMNrT+Etv9dyq4lFmZv1lUC9JQWNBPrjO8nZJFSWxoSTOLJFlU6AoOfzVle4JaFe3A14zt//wn8dvWrJfE26w5Iy1TkhqOPdZckjZGVaRDH8AN9ZpKAo9G5Qu1LHJHZ56JeOhulxdVWVkET4m8gHxepbRrImgVWMYyr0iHu0AQXIFBF+9/LhmiTOQV6ZBkkUbSWjKLWrtl51E7krGmPmALdsbaE6JRaSspatju/FI1ceYrY04WqWqPQDuFhdIu+fnnMBgIEdTyrsaVRWIclJMj2ou2vhppQwDjXOrKopKSLAdGW6DajLc2J1gl0ciiFz8+lMEhYck96qhRuGXsbGjpZgVlKgDZFG6dYWVRZEgQiBvvFY//f3t3Hh9Veff//z3Zl5lMQhISlrCDiCggICC2xcpXlP5YFEHtXa2UqliUIt620lZQrHWrSwtaaqXUUmwVW61Lb6iicOvNomwqFpFF2RMIZN+X8/vjJOfMSSaQkG1m8no+HvNg5sw1kzPDyWTmPZ/rc4XHSb1ubPr9xXZTv7R91sV9ByL07ud2WHROjbiDQUv8H/v+fYgOobAo4uyVRbv/9wMtfedOSVJsTKWeaO4CWz1vlHpcL/X8rtRtUjPvzI+6fYuqy8zfISkwwiKpTpPr/5grzVXWPPk9b2zZVeI6AMKiEBPsYVFOcc0bYaPK8ccjt8jtd3xICY82V9+QpJLj+sY37MfaOaHmuWjpktJz5bsaStQZDrRGTkMrKjNDMHdcIytBAl33a8zVyiRNH2xPRTtrWPR1onW+/3kRDQ9sQZGR0k9/ap5PTq6zCpov3w+phQd87qCNw6J8r1Rpr3KWm22fT0qU3Al2yFaQb6+MdkY1QUkghEUxUebvQElFrKO5datUFpXEm7lbZaG9ZLGkzFP2/+k5VxZJZ56KVpopVdX0lAqwfkWS+dobEVH/+Bk0oLidK4uc09AkWVPRsrKkzFP234ignbrRgsLCpNQU8//xRF5ne5qRVK+yqK3DNd+w6PDJVMfrmkPNNKl/fWLPO2v1KWhS8yuLpJapOpFat7JIkg6ssKej9Zh+br/XcV0dYdHer91WZZHbbQRng+bG8PS3v8g81/9jxzQ0P8ddsKozDa3ue2CjulrzfnWZKqvMysL7flJZv1dlU0XESpf9TRq76sxf5p6rumFRG/ewbBRH36JdTEFrJsKiEBP009BKfHa6xP6mu3ZpbCkw5ny3mtoQpuS4IiMMPfecNOTCMv1y+i/M7YFSWZQ+Xup5g/nvmb6Ba2KD6/jYEAmLYlKlNLPPST/P+7p4iPkh4OOPpa++avhmew/bb5IGDGjVPXS46y5pwwZzqlyDTZ19v+3zDYvaurKoIMVaZUaScrLtxrBJncLk8dphUWFh8IVFsTHmKnOl5THa+pWZELlc0sUXn+lWTVP7obi6OlzFZXGSUS0V7DU3xnRW1gm7OqtFKouk+mFRAPcrksyQoXOK8/UoI/mQEtbES/uetze29dK5daahSXKsiLZzv33gUllkSu1sluCcyO8so8BnpdGYzjIMZ2VRW+re3T5/+FRGzaqMflTkyjCkf+00E6LoaOnyy9tgB/19aG9Kg2vJGRZlrZcK9plTQpoqv6ayyBVhrsDVEiJ9fnf32KtQnfMqSTFd1D99r3Xxtf8dqaw8M20fN07N69kUyMLCpaRh5vmig87K48Y6Q8+ioBbhkTu64cqit1Z9oX/vHCdJ6pF2Qv/901YId1paXDcprod5PnuLVO5TpRAIPYskZ/Pqw69K2Rtrtl/oXFUYjdI2X12jzQRjZZFjNbTiRPtC8VF7e4E5PSc2VqG9FHBsF/NDVXWZVJGrG29M0o1X7ZH+p3aubYCERWER0ti/NmJc03oWueMrW2gHA0CP6VLmO5Kk6d/8X23/xFyndvVq6Sc/8TO+slhfHrUrLNoyLHK5pG9+8yyDHJVFPh+42rqyqCBFKj8lqZckKee03cQ6sVOU3F6fnkUFjZynURNM7z1hv8Fot8qiaHPqXHF5nD49ZDZYPe+8lv0g61txUlDqUXxMsf2GL7a7MmtW8Y6MbGaPuDOFRQG8ElqtzmlhOuazovkF3WofQ+00SJdzSm5bcCxn7qwskqSdB86zzhMWmTp3Nl8TSitiVVgaL09szd+k6FQdPSqVlJgXuzYxB2murl0ll6tahhGmI6e7m2GRp1/9geW52nV4sI6cNksOLr+8jXorRXrNcMbw+bvc1Moiz3nm+5bKIinz39KbNS+sEfFmn7KYdCk23fzX93xses31aeY+FHxZc3/97CXvm8s36C0+VHP/A6TUy87t/sKj1C/DfhP++iY70ft//y+wptm2uKSLpZMfmudPb5e6NLFBU23PIleEc7XdYBceJU9ciXXRNywqK5Pm/9x+Pf/1/V8oLi5IgrKUMdKhQ1JVsXTy/+ztgTgN7fha+3zfHwbclPdgQFgUYoIxLHJUFhX7/PEuOWZvz4+uNzYk+b4RKz5mfhDxLU0PlLCoscKjlRSXY130PT5rVZWVqKTcrBxzxzeyx0ww6H6N9PEdklGl6YMe1QKZYdErrzQQFpVm6ctMMyFyx5YoLe0MjcPbQztWFvlWSWYXpDgapebm2MdMUkq0PIl2VUxBYSOKZ6srrW/092WZH2Q8noZ71rS22JqwqKo6QlXV5p/oluxXJNUPi9KVZW+Iz1BWzcW0tGa+rzpjZZFPWBQfqGGR80PpBYMqpc7flEoyzalofWe1fVjkuwpizTQ0R2XRV/ZzTlhkqrsimhUWxaTq44/t61pyqmdjREZKXVKLdOyER4dPZ0glH/gfWJGnt3d+x7rYJlPQJPOXPzrFnDJaqymroUlm1Un6eOnIP53bK4vMvyO+f0saEum1p6y21BQ0yf8H276zmvWi16en/eVF7eu3FML9imrVnW7Y1LDId4XCEPsw746zw1bfsOg3z1RrX001+bfO36Drfji0jfesGVLGSIdeNs8f/7e9PVDCopg0s0WGb9VTWLTUq6GmnDgTpqGFmKCfhlbo80LjU1mUk2dOLQnZldBq+fYCKq0pSa8K4rAoLFppXvuDaFZW/SFFhfZUj5AKi2JSpLQrJEl9E/5Xw2umom3bVrNqUR3l+Sf09clekqQBPbMD7/1SgFQWnSpMdk5Ds7NIJaXGy5NoT1ktLGpEt/TSLMmoUnllpL4+Yf7+9e/ffu9XY2Pq/w609IdYR1hU4vz/q4rK0Ekzg2hevyLJ/OY+rmauTd7nzhXRaptbSwFbWVR3Ct4FV06Sxm+QJu2Rrj0uDfll2+9UZKL57btk/R74VhbtODjMOk9YZHKsiJbncyG6syMsaulQtjG6dzGn0Wblpak8z88fSEkqz7WmoEnS1Ve3xZ7VqDsVLbahecpnMGq5dPEz0nnzzOnraZebTaobG7TW9hKSJG8LLgEXWWcKqStc6n1zs+4yrlOyuiUdcWzrmpyt81uoJ3fA6uQzT7qpTa4NwxkWhRjf97W11fXHj0sPPWT+PQxzVemZ+X+XKzqIemz49i2qqaCXFDhhkcslJQ52bsu41lylFU1GZVGICcbKIt83tLlFPmFIzdSQisoIFRWbH/pCvrIoxueNWG3/giCvLEpPtL+VzMysP6Qw3/7WxR3vZ3ntYNZzhll6L2nGt9Zr2yfmt8OrV0v33eccemBPgaoN8zgf0DtfAcf3TVy5T0LTBmFRYqIUFlat6uqwmmlodhPR3Dz7O4/EZLfciT7T0IoaMV2hpl/RVyd6q7rafP7bawqaJMXE1P8daM3Kotpl1mudKu+vqpr3ts3qV1TLe4H5HJfnmK9ptT1PHJVFvVrgB7W8utVlF1zgf1yb8q32KKs/De3rk3bwRlhkcoRF+T4X6lQWtUdYlNG9Wh99IhlGmI4dLlKvi+qPyTlVqY17L5UkDehXrn792malTEnOhurRyeZCHE2+j2Rp4I/9X1dVZgb2JZnmMe04n1lzPst87YjPkPrddm6Pw5+6H2y7TTKnvzVHbFf1S9+nozl2Q6r/d8nncrm+1bz7DXQJA6XwWKmqpOlNrity7amOobQSWg232+6dWFtZ9LOf2V9m3Xr5HzT028P93TRwJQ01m2dXlTqrd9qg0rzRvBdIJ+zViGlsfe4Ii0LMdddJvXuboVGzvxVuIxER5oeXggIpJ98nDCk1v2XLK7HT9pAPi2LPFhYFyGpojRUWraT4HEWGl6uiKspvZVFhgf2H1O0OsbCo+1Tpo9mSUanpFzyin8oMi155pX5Y9OUeOzTr36dMAcffyjhSm7w5CA+XOiVWKvt0VP0G13l2IJSU5lWMRwoPq1RVdYQKixvxoSqAmltLUmyMsyl3eLg0ZEjL/gzfEKGg1Pn/l1VkJw8t8jfEe4HdMyDvczssqu1ZFJnQ9lO5GqluWDSoBYsamqU2LCo9KRmG0tJciouTioudwwiLTKk+L12+YZERlaqtW83zaWlStybOsGoJ3TPst+GHD1bWdGJz+vemvtaUpolXN7Jpf0vxfd1var+ixgiPluJ7mKe2Vrey6FwbW/uK7aZ+afu0Yfc4a9P40Qebf7+BLizCDBCyN5lTC8tzGv+6HqrNrWt4fN7XFuZX6qOPIvSnP5mXE+Ny9ND1i6Xun/u/caAKj5I6jbD7VNUKlMoiyTkNPr63lDau3XYl2DENLcRMniw9+KC0ZElwBSu1+5pb4LMSgGG+KcotSqw3LmT5DYt8JjkHYWWRyyVrKprfyqJC37CorXasjUQnm/0aJPV2/59GDjP/L3fskPbtcw7du89+OR4wINDmoKnhN3FttPpFSrJZ7mKGRfZ825w8+zUjKSVargi7qXpBcSNWFqkNi7ICIyyKiXX+3w8eLMXFNTD4HJ1pGlpmgb1ub4tVFtWq7VtUXSUV1TSUje8dsD0qfB9/z54B9PpUOzWoukyqLJLL5awuqkVYZGqosmjfkc7KzTXPjxzZPodhRi+7N93ho/7fkv9rk50Wf+f/a+MltVo7LGpPvmFRbBepy1XNv8+4ro4V0SRp/DdONv9+g0GSz1S00zsaf7sQD4vcbvuFJT+vQnPn2tc9MO0BpfYfGrBfmJyR71S0WoEUFqWOtc/3ny25iDzOFc8cAkJtL6LcgvqVAL4rpHXMsMinsig8yMKiMLNkvTYsOnlS1hSXWoUF9rcuvn9UQ0aPGdbZGd983zq/erVz2JcH7A8NA84PwCX/fKcj+GqjNwcpKeaxUVCaoLKCXGt7bqH5vLlc1VYI4ok1f2cKihvRJLwkwCqLOjnLG1qj6W7dBte+svLshKTFKotq1YZFJUftaQcB2q9IcoYMAVNVJDk/wPuZilbLE0AzAtqTo8F1fs1zF+HR1h3262x7TEGTpIxedqB95Fj91/3qaul/Ph4lSYqPLtQ3vtWIPmwtyfd1v6nNrQOdx+eFvu+tZnVMc8V2Vb80+5ugCzM+VXr3Fk77A1XdJteNFephkcf+qP3XlyO1ZYt5/vyu/9GPxj9nrpwbjAI9LEoaKo192eyXNnB+e+9NUCMsQkCoDYHKysJVWu58w5RbnFxvXMjy1+A6yHsWSVK61ywpqqpyNmGXpCKfh+f2tPEb4baQMdVa6nf6oF9Zm195xTnsy6/tb5b6nx+An/LCIv1/+9VGc9RTUu1j49TJmqboRrVyCsyfnxhfoLCav2ieWHOp2sLSRrxJD7BpaDFu5+94a3yIPVPPoswc+/W2ZSqLfFKW2rAoCPoVSdLAgXa1yaWXtu++OPh+gC+tWRGtd3m9YVQWmfxWFgVAvyJJ6p5hf0FyOLP+f9i2bdLJPPN3cvyQ/1N0W3+PEBPClUUJ/aVL/yoNfVS64Octc5+x3TSs1w65XGbF9KSL32z4i5ZQc65Nrst8wqJQ7Fnk8772eKYdSD5z0zxFRkrqPqUd9qoF+A2LAuy9a88ZZr+0lgiCOzDCIgQEx4poPpVEkpRTagcoIb8aWkS8ncwXHzP/DeawqE5lkVR/RbRCn4cXHx+CYVFUkpRmTkXr6d6sUcPN5TB27pS+/NIetvew+SYpxXNSSV0C9A1T3b5FrnCzyWEbSEm1/9hnZ9dUo1XkKafIfFFI8tgHkjvOXGa5sDReRvVZ+mDVCYsSE9t3JcnYOsVQbVpZFJ2srJP2NJcWqSyK9EjxPc3ztSuiFfmERQFcWdS7t/Tyy9IDD0jz5rX33vhwVBbVrIiW8FG9YYRFJr9hUXRghEUZ9qxPHclOsZeIr/H22/b5iZdsbqO98pHgs4xX3dWFQkGvG6RBPzV7sLSE2K7q0/kr/e3OG3T/NYu1YPIjHScs8g6y3vNRWWTzJNQPKiZf/E9dedE7UvoVwbtCV2y6OY3cVyBVFqHFEBYhIJwpLMotTfM7LmTVVheFQmVRmPkG7EwrohUW2i9D7oQQDIsk89uNGtO/8Z51vnYqWmGhdDTbfJPUv8tX57biTFuo+0YuwtNmjT5SUu2fk33KPG+UZFuvF4keuym4J848bxhhKi48S7Pw4iMqLY/WoVNmg9X+/du3hU6MT/YWFSVdeGHL/wxHg2vfnkWx3R2/ny1SWSTZU9Eq8s1wrvBr+7q6bzYDzPTp0qJFAdSvSHJWe5SZTa77hP+13jDCIpPHI0VHm6FxbVhUGZGu7TXFD716SSnt9Hm+SxdzpUdJOnwqw1z9y8e/3rZ7+k0c80mb7pskc5n7i5+WhjwsZUxr+58fbGJSJVeEZoxercXXLZI7pqjhxSFCTViklFiznF/BXvP1vjFCPCxye53v56IiK/Xkf91jXgjWKWi16lYXERaFJMIiBARHWOTT0FqScks7+x0XsmJqwqLKIqmioE6D60D6xNIILpcUFqW0hDNVFtkBkdvTxs0720r3KdZUtOvOf8TaXDsVzbfZ9YDuR9tyz5qm7pveNiw59v0wl30qUjIMFebkWKsEJXntaTjueHtluYLTPr8/dRnVUslRHTjRR4Zh/jlszylokrOyaMgQMzBqaQ1WFsV1d/x+ttiKmnX7Fjkqi3q10A/pQHwrFcpOStkb1Tf+3XrDCItMLpeUWhM214ZFu49fZK0e115VRZK5GmyXFPNDtRkWHbeuy8qSPt5qvi5d1OMTde9af6phq3O5pIHzpAt+xlSOxnCFOdsJSB2nskiq07eokU2uQzwsivM4w6K7J72gfun7zcrsbkE6Ba0WYVGHQFiEgOAbAtVOK6mVW9KBehZJ9ZtcB3NlkSSFRZ+5ssg3LEoI0bAoKklKv1KS1NO9RaNrpqJ9+qn0xRfS3i/s6pcBPbP93kVAiAmQsCjfK1UVK+eE/c1lUqLdOd3jGxbl+Pz+1FV6UqquCJh+RZKzsqi1PsQ2uBpanF1ZFB3dgmFD3bDI0bMosCuLAlLdaWhfPqeeKQetPim1Aqoaqp3VTkXLLkhRdbVLH++7yLquNaZ6NkVGF/M16kR+msry7LR2yRJ7zMQh/5KiEtt4z3BO6vZ2im7Hec1tzTcsamzfIkfPotCrwgqL8qhrkvklYHpynn4+8V7zirRvSzFBHiSm1mnmF2xfaKNRCIsQEHx7EeUW1wmLiu35vIRFQRgWhUefuWdRsR0QuRNaoYwiUDhWRbOrAFavlr7cbf8f9+99hkqY9la3+WQbNbeWnH2EsgtSpLJs5WYXW9t8Xxs8bjs4Ksyzx9RTuxJaVuCERV19Pme0VlPlBhtc+1QWpae34HS8hiqLolOkSN5cNplvaJv3H+nwq4qJKlO3TnZViscjq+E77LCosipSucWJ+vgL+xe9PSuLJKl71wrr/NGD5hcJa9ZIv6pZDyHMVaUbL/2rc6l3BK44n1XjIhOtquIOwbfJdWP7FtVWFkW4pYgQXDku0qMXfvhDzRj1st645xp5Ymve4/W4rn33qyUkXiSF1/yfRcSzPH2IoqYUAcExDa3MOffBNzwiLArCsCgs2loNTfJTWeQIi0K0Z5EkdZ9s9nCqLtd15/9K83WNJHMq2sWD7EqYAX3P0mOnPQVKZVFBilR2SjnZJda2pE52suF2202tC3KdDWMdAmwlNEmaNEm66y5zesr117fOz2hoGlplVIZOmotrtVy/Ikny+jTJzdkhFddMtaSq6Nz4Tms5+qZ1tm+vUh2pWW2SKWhOdZtcf/x5d0lmIDp8eAM3aiO+Ta4Pf12qiEPS975n9oKXpF9d/zNd1OMzKWpS++wgmsa3sqgjTUGTJO9gMxyrrmh6WBSCU9AkSREeXT10ja4eusbe5gqTul/TfvvUUsIipF7flfa/IHW5qr33Bq2ECBABwREWlTr/YOQU2d+mhfxqaJLds0gym1xbYZFLCo/1e5OAdtbKIruaKKSnTUQlSl0mSJIy4rfq0pHmFKpdu6R/v29/suvXL4Bfltuxssg3LDpVmCyVZSvnlN3DIzHJDh09Hjs4Ksg7Q/gWgGFRTIz0299KTz1lBkatISpK1hLcvmFRdmlv6wNqi4ZFEfGSu495PmenpJofQr+ic+P3A6hLfc63w1zCIiffsOjwqQx9usd8M3Heee3/XGX0tP8GHvgqXDNmSKdqQr9J44/p3u88YV6ITGz7nUPTxfpUFnW0sCg8SvLWrMqQv0eqOEuldHWFVH7aPF/3/UWo8NfHp/O4+l++BauRv5Ou3imN/Vt77wlaSQB/KkFH4giLSpx/XHML7Q8z3o5QhV23sqiqJiyKiGvfZZrOVVi0vHF5io40KzzqVRaV2M3/QjoskhwrX8z4hj0VLfOk2aimW9IRxbfnuu1nE1CVRdnKPW1XZCWl+B5H9p+2wnx7ikc9dcKiTp06SCAtu7qooNR+I5uZZ5c4tFhz61q+U9FqUVl0bsIi6wcHXa5Sn/Ps/0tP2/1qBoVUn5eudcfvU0WF+RrR3lPQJKl7T/sP333PXaMtW8zzvXpJLz62TmFhNeFqVEd4AxQCfCuLQiUQaAqrb5FR8+XAGZT59GgM1coif++Tgn0VNF9hEVLSEBrghzDCIgQER1hU7PywnFtkTr1yu1vvm/aA4vtGo+SY/c1MsDaOC4+WyyWruqhuZVFRRwqLutVMRZN03fm/rHf1gC5fSjEtWdLRwuq+mWvDyiKvVwoPNxv4WtPQcu3rk1LsXgcen+mMBfl2oFRP8REVl8XqyGkzJGnvqqK25C8sysq3j70WrSyS/IdFbsKic1a3YqH/Herb177Y3tUygca3sujtbVdY5wMhLMroY7+Onsgx0+qoKOnVV6Wk2JP2QCqLgkNcB64skprW5DrEV0KTVP99UqhMQUOH0eyw6B//+IeuvPJKJScny+VyaefOnY263erVqzVw4EDFxMTowgsv1L/+9S/H9YZhaOHCherSpYtiY2M1fvx47d2717q+rKxMN910kxISEjRgwAC9+65z2dgnnnhCd911V3MfHtqIs7KoToPrgth6Y0Jag5VFQdivSJLCzDCotm/RyZNSpc/n98ISe/mnkA+LorzWvO5ucTt02ag8x9UD0gM8LKq7UkkbVha5XFJKJ7NKqLayKCfH/hOWmGIfPO4EO1UuLLCbXddTfET7s+xP2B0xLMovrjkTnarMbDtwo7IowPlWLMT1kLpOVJ8+9ibCIiffsGjXLvt8QIRFPepXDP/2tzW9lCpy7Y00uA4OnS62px51/mb77kt7aEqT644QFtV9n5T6TSk2gN/nAXU0OywqKirSZZddpscee6zRt9m4caNuvPFGzZo1Szt27NDUqVM1depU7fL5C/7444/rt7/9rZYtW6YtW7YoPj5eEyZMUGmpOZXl+eef17Zt27Rp0ybddttt+u53vyujptnCV199pT/84Q96+OGHm/vw0EZ8p37kFNYNi8wwocOERZEJdm8i3wbXwRoWhZthUW1lkWFI2bWVx4ahwlLzA2p4WKWiQngxNIvPqmjTL3vHcVX/9L0BHhbV+ZbU31z8VpSSbAY/2YU109Dy7VDIdxqax2sfSAX5drPreoqPBNRKaG2pNkwor4xSuWeUNOzXjqq/tqks6tXCP6QD8Q1u+8+WwsI1eLAdiowa1T67Fag6+/kcGhEhDRnS9vtSV3q6XTUpSTdN+lS33VZzoTzXHhiV2Ja7hXMVlSRd/Yk0foPU+/vtvTdtL/FCyVXzt/l0EyqLQrZnUZ2wKBRWQUOH0uyw6KabbtLChQs1fvz4Rt/mN7/5ja666irde++9Ov/88/XQQw/p4osv1tKlSyWZVUXPPPOMfvGLX2jKlCm66KKL9Oc//1nHjh3T66+/LknavXu3Jk+erAsuuEBz5szRyZMnlV3zCfSOO+7QY489pgS+WgsaHo/djie3yH5hLauIUkmp2bi2w4RFLpddXVRyVKqqWc0pPEjDojqVRZJP36LqMhWWmhUh7tiSoGzJ1GTdJ1nPybTzHpbLZYcZAT8NLSxCiupkX27DaWiSlJJiHiDFZfEqzitQTp4dCvkGzh6vHRwVFDRwZ4YhlRwJqObWbcmxItqlm6U+Nzv6ibV4ZVHCwPrL6sb3bOEf0oEk15TERCZKfWdJkuLjpS1bpLfflubPb79dC0T+wqLBg6XYAFgzIjxc+uZYs1n/4O6f6Xc33yJXbRP4Cp/qU8Ki4OHuZVYVdYg3NXWEx9hfDuT/R6osbnhsWQeoLAqP8/nb55IyprXr7gBN1S49izZt2lQvXJowYYI2bdokyawMyszMdIzxer0aNWqUNWbIkCH68MMPVVJSorVr16pLly5KSUnRqlWrFBMTo2uuYT5oMAkLs5tX5xbZ00lyixOt8x2l8awkOyyqyLe3BWtlUZizskjy6VtUVeITFgXwkvEtKTJB6nq1JKlb/E7HVLTzMo5blVgBy/cNXRtOQ5OklFS7kujUyXLlFNjTpnzDZLfX/gRYWNTAn7myU1JVKWGR7ECtVSuLImIlt09Tndiu5ocKnJtBP5Uue1W6cpPjd7JXL2nixA7S368JUv30GQ6EKWi1Xn41RqvvX6jND45WfPkOKWeHeYVvZRHT0BAsavsWGdVSzicNj+sI09BcLilxqHm+60QptqW/iQFaV7uERZmZmUqr8040LS1NmTVfa9b+e6YxP/jBDzRkyBANGjRIDz/8sF555RXl5ORo4cKFWrJkiX7xi1+oX79+mjBhgo4ePep3P8rKypSfn+84of3UftjL9fkAmFuUWO/6DiGmS/1twRoWhdcPi6wKhsoSFZbVhEVxpW29Z+3HZyrar37wR/VK/Vqzxr2gAX3PssxsIPCd/tKOYVF2ZqFyi+wPT47KoiT7NaSg0G527VDiXAlNIixq1coiyTkVjebWzRMWKfWYJnkHtveeBIXY2Po98QIpLEpNla67ubviY2qqML76i/kvlUUIRr59i87U5LojhEWSNO4tafSfpDEvtveeAE3WpLBo1apVcrvd1umDDz5orf06q8jISD377LP66quv9PHHH+uyyy7TPffco7lz52rHjh16/fXX9cknn2j06NGaO3eu3/t45JFH5PV6rVNGRobfcWgbdlgUq5r2U47Kog4VFsX6C4uCtPuzn2lotRUMRmWxT2VReZvvWrvp9v9ZVRWXJT2sr57prRduvVWKCYJvnHzf0LX1NLRUu6Q/+0S5corMhCg+tlSRkfY4d6L9u1JY3ECJRbEzLEpNtasbOwLfsKj2e5La30t/H6xbhG9YFN+rFX4A0LC6U9ECKSySZC6nXbNapg7+VaqusiuLwqKpxEPw8F0R7UxNrjtCzyLJfE/f5/tSdPLZxwIBpklh0eTJk7Vz507rNGLEiHP6oenp6cqqs352VlaW0mu+yqz990xj6nr//ff1+eef684779T69es1ceJExcfHa8aMGVq/fr3f2yxYsEB5eXnW6fDhw+f0eNAyasOgispwlZSb00g6bljUtf62EKwsKisuVVW1+WHeHVfR5rvWbiI9UhdzKprKT9vbA7lfUS3fQKuNv+lO9nmflV2QbL0+JHpKHOM8ifaHqoKiSPlVfESFpfE6nmv+rnWkqiLJuVpW3cqi9PRWarXhHWyfd/dpeBzQCnzDopgY6QI/PdfbVVSSOU1Fkkozpaz37NXQojpQko3glzhEctVU9Z6pybXVs8hFkAIEqCaFRR6PR/369bNOsefYGXDMmDFat26dY9s777yjMWPGSJJ69+6t9PR0x5j8/Hxt2bLFGuOrtLRUc+bM0e9//3uFh4erqqpKFRXmB8+KigpVVflfOjk6OloJCQmOE9qPY0W0moqBDjsNzW9lUZCGRbWVRYn1K4sK8+w+Re74DhQWSY6paJZgCIv6zjSri9Iul5IuPvv4FpTisxhbdkGK9TqRlOCsSot320lHQXED38YXH9G+zH7WxY4WFtWdhlZRIZ06ZV5u8X5FtbpPkpKGSrHdpF43tdIPAfzzDYuGDZOjGjFg9Pqeff7rv0jlNdPQIhPbZXeAcxIRKyWcb57P+9xeqKWu2sqi6GRzAQ0AAafZPYtOnz6tnTt36j//+Y8kac+ePdq5c6fVW0iSbr75Zi1YsMC6/OMf/1hr1qzRk08+qS+++EIPPPCAtm7dqjvvvFOS5HK5NG/ePP3yl7/UG2+8oc8++0w333yzunbtqqlTp9bbh4ceekgTJ07UsGHDJEljx47VP/7xD3366adaunSpxo4d29yHiTbgGwbVVgx03MqiEAqLaiuLEupXFhUV2B/y3XH+Q92Q5TMVzRIMYVGn4dI1x6Ur3pPCGugH1Ep8w6KjOd1UUm72JkpKrHSMCwuT4mOKJEmFZwiL9mZ1zH5FUv2w6ITPbIBW6Vckma9hV22Xph6SEjrYE4525xsWBdwUtFrdvmM3sj78D7tnEc2tEWysJteVUu5n/sfUhkWh3K8ICHLNDoveeOMNDRs2TN/5znckSTfccIOGDRumZcuWWWMOHTqk48ePW5cvvfRSvfTSS3r++ec1ZMgQvfrqq3r99dc1eLBdov6Tn/xEd911l2677TaNHDlShYWFWrNmjWJinG/8d+3apVdeeUUPPvigte26667Td77zHX3jG9/Qp59+qt/85jfNfZhoA46wqKaiqLZyQOqgq6H5CtawqKayyBNboNhYMxCyKosK7A/57vgOFhZFuqWu33FuC5ZVMuougd5GfMMi36qgRK9Rb6wn1mwUW1ASV+86SWZY1EGbW0v1exa16kpovlyudjt+0LH5hkXn2EWh9YXHSD2uM89XFkqqeW2juTWCjW+Ta399iyqLpKqahu6h3K8ICHLNrvm75ZZbdMstt5xxjL+eQdOnT9f06dMbvI3L5dLixYu1ePHiM9734MGDtXfvXse2sLAwPffcc3ruuefOeFsEFr+VRaWd/V4f8vyuhhakDa5rKotcLiktpVxfH461KosK8+2pZ+746vbYu/bVY4Z0+O/25WCoLGpHjrAoyw6LkjrVDx/csaVSjlRYGi9VV9YvcS85or2Z/2Vd7MhhUUFBG6yEBrSz6dOlpUvN3meTJ7f33pxBr+9J+5c7txEWIdicrcl1R1kJDQhyfL2HgOE3LCpJ9Xt9yItONpdG9hXklUWSlJ5qNiI+dcrskVJYYAdE8UH68Jql23ekcJ/eb4RFZ9RwWFR/OpwnzuyHVVDqkVFR4LzSMOpVFvXrpw6lboPrNqssAtrJ0KHSsWPS3r0BvvJh529Kcd2d25iGhmCTOERSTf9Af02uCYuAoEBYhIDhbxpabkknv9eHPJer/jLqwRoWhdthUVqKvWrViRNSYaEdFrnd9acShbyIeKn7FPO8K0KK792++xPg3G4pKsqcrlhUZlfaJXaKrjfWE2/2w6qsilRZYb7zyrKTUmWRFRalpzsrbToCKovQEcXHS+Ft22qt6VxhUs/vOrdRWYRgE+mWEgaa5/M+k6rKnNf7hkVMQwMCFmERAoZvTyK7wXUHDYuk+n2LgjUs8q0sSi62zmdlOSuL3O7WWKs7CFz8lNTvNmn0Cikm5ezjOzCXS0rpVH/VvKSU+itzuuPtfliFuUXOKwv2K7/YoxP5ZglNR5uCJtUPi6gsAgJIr/9yXqayCMGodipadYW5KpqvMiqLgGBAWISA4RsG5chc2S63IsPa5jttokOI7eq8HKxhkW9lUXKhdT4zUyq0L8rt6aAvR7FdpEt+L/X+3tnHQinJ9XtbJSVH1dvmcdsN0wtyip1XFu7v0CuhSfUbXFNZBASQpIukxAvty5GJ7bYrwDk7U5NrpqEBQaGDfjpDIHJMQ/NcK03ap5xSc96+1xsEpeMtrW5lUXiQhkW+lUUpdu+YrKw6YZGblyOcXUpK/Qq0xKT629zx9rTGgtxS55WFBzr0SmgSlUVAwOt1k32+bg8jIBg4mlzX6VtEWAQEhWavhga0FEdYlBcmefoqN7f+dR1G3RXRIoN0NTSfsCgtKc86n5kplRfZAZE7gZcjnF1Kav3jxHcKay3fMKQwv25YtL/Dh0VxcVJYmFRdbYZFRTUz9dzuDtpsHgg0590lFe6TXOFS14ntvTdA0yUNtc+fqbKInkVAwOLTGQKGIyzKNRcs6tBhUaj0LAr37Vlkh0VZWVJUkV0R4vbwcoSzS05pZFiUYB9bBXl1+hwV7te+rG9bFztiWORymYFaXp4ZFp08aW6nqggIEOEx5hRlIFhFJkieAVLBl1Lup2bvotqVfulZBAQF5n0gYLjd5jfdkhkSlZZK5eaCRoRFUvBOQwuPs86mJRy3zmdmSoXF9txCd0Jkm+4WglNKqp9paIn1x7k99rFVmF8nLCpwVhb169dSexdcaquvsrOlnBzzPP2KAAAtxmpyXSbl/cfeXltZFBZlhkoAAhJhEQKGy2V/6MvNtauKJMIiScFbWZRgfyhPi7TLkLOypMIiu0rEnVC/STFQV4qfBeP8T0Ozj62CfLvZtSqLpNJMKyzq1s2cktUR1YZFp0/b26gsAgC0mIaaXNeGRTGdzQ8AAAISYRECSu2HvpwcZ1jk78NgyHOERS6zJD0Yxfeygi53+cdWPxSzssiuJor3RPu5MeBUNyyKjKj0G/b4VqoV5NvNrlX4lXKLvMouSJXUMaeg1fK3wiSVRQCAFuOvybVRLZXVzH2mXxEQ0AiLEFB8K4t8v+3ukJVF0Z0lV82vaER88H7z4gqTvBeY5wsPKD3dXPo8K0sqLLaridyJQRqGoU3VDYsSE8r9/mp4Eu3wsbDQNyyiuXUt3ybgtagsAgC0mKRh9vnayqLyHMmoqfilXxEQ0AiLEFBqQ6HqaunIkfrbO5SwcCm2m3k+qlP77ktzeQdbZ9OSzWWXcnKkU3n2Cm/xCbFtvlsIPnXDoiRvpd9xHq8dPhYU+qRJBfu1L8tuUtRR+xVJ/sMiKosAAC0mKlFy9zXP534iVVc6V0IjLAICGmERAopvKPT11/63dygXLpLie0uDf9Hee9I8iRdaZ9OTTlnnD2SaU+1io4oVHkmDa5xdvbAoqdrvOHeiPTetsMjnTx2VRRYqiwAAra62b1FViZT/BWEREEQIixBQCIvq6DtLmnJA6ndre+9J8yT6VBZ5jlrncwvNpinumKI23yUEp3rT0FL8r6LiSbQr1QoK7WbXKjxAZVENKosAAK3O0bdom1TmExbRswgIaIRFCCiERSHKZxpaevy+ele7Y4rbcm8QxOLipFifGYtJnfz/GXMnhFvnC4p8VtqrU1nUt2+L72LQ8NfgmsoiAECLqtvkmsoiIGgQFiGg+K565hsWdcjV0EJJTJoUbZaEpMV8Xu9qdyxhERrPt7qoodcG36qZwpKasKi6Sir62gqLuneX35XUOgqmoQEAWp1vk+ucbYRFQBAhLEJAobIoRLlcVnVRetyeele7Y0vbeo8QxHzDooZeG9x273QVFNc0uy4+rJyCeJ0qNO+gI09Bk+qHRQkJzqotAACaLTpZiu9lns/ZKZUct68jLAICGmERAorvB7/SUv/bEaRq+halebPqXeWOLWvrvUEQS062zzdUWRQZKUVHmsdVYUmsZBhS4X7ty7QToo7c3FqqHxbRrwgA0Cpqm1xXFkknP7S307MICGiERQgoDYVChEUhoGZFtPTEzHpXueMIi9B4jZmGJkmeuBJJUkGJx3yDWqe5NWGR8zJT0AAArcK3b1H+bvt8TGrb7wuARiMsQkDxFwqFhTmnlCBIeRuuLIqPrWjrvUEQa8w0NMmuWCso9UgV+fWaW3f0aWh1G1xTWQQAaBVJF9ffFpkghce0/b4AaDTCIgQUfx/8vF4zMEKQ814gSYqNKpUnrshxlTuOsAiNN2CAff5Mq5l54sslSYWlbjMsKnCGRVQWOS9TWQQAaBW+lUW1mIIGBLyI9t4BwJe/KSWshBYiorxSXA+p+JDSvcdVUGyXdbjjK9txxxBsZs6UDh82VzMbNqzhcZ54M4QsrYhVZUm+Igr3O6ah9enT2nsa2OhZBABoEzGpUlyGVHzYZxthERDoCIsQUPx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  ]
}